1. Table of Contents


Details.

Details.

1.1 Sample Data


The Wisconsin Breast Cancer dataset shared from the Kaggle website as obtained from the UCI Machine Learning Repository was used for this illustrated example.

Preliminary dataset assessment:

[A] 1138 rows (observations)

[B] 32 columns (variables)
     [B.1] 1/32 metadata (unique identifiers) = id (numeric)
     [B.2] 1/32 response = diagnosis (factor)
     [B.3] 30/32 predictors = 30/30 numeric
            [B.3.1] radius_mean (numeric)
            [B.3.2] texture_mean (numeric)
            [B.3.3] perimeter_mean (numeric)
            [B.3.4] area_mean (numeric)
            [B.3.5] smoothness_mean (numeric)
            [B.3.6] compactness_mean (numeric)
            [B.3.7] concavity_mean (numeric)
            [B.3.8] concave.points_mean (numeric)
            [B.3.9] symmetry_mean (numeric)
            [B.3.10] fractal_dimension_mean (numeric)
            [B.3.11] radius_se (numeric)
            [B.3.12] texture_se (numeric)
            [B.3.13] perimeter_se (numeric)
            [B.3.14] area_se (numeric)
            [B.3.15] smoothness_se (numeric)
            [B.3.16] compactness_se (numeric)
            [B.3.17] concavity_se (numeric)
            [B.3.18] concave.points_se (numeric)
            [B.3.19] symmetry_se (numeric)
            [B.3.20] fractal_dimension_se (numeric)
            [B.3.21] radius_worst (numeric)
            [B.3.22] texture_worst (numeric)
            [B.3.23] perimeter_worst (numeric)
            [B.3.24] area_worst (numeric)
            [B.3.25] smoothness_worst (numeric)
            [B.3.26] compactness_worst (numeric)
            [B.3.27] concavity_worst (numeric)
            [B.3.28] concave.points_worst (numeric)
            [B.3.29] symmetry_worst (numeric)
            [B.3.30] fractal_dimension_worst (numeric)

Code Chunk | Output
##################################
# Loading R libraries
##################################
library(AppliedPredictiveModeling)
library(tidyr)
library(caret)
library(lattice)
library(dplyr)
library(moments)
library(skimr)
library(RANN)
library(pls)
library(corrplot)
library(lares)
library(DMwR)
library(gridExtra)
library(rattle)
library(RColorBrewer)
library(stats)
library(caretEnsemble)
library(pROC)
library(adabag)

##################################
# Loading source and
# formulating the analysis set
##################################
BreastCancer <- read.csv("WisconsinBreastCancer.csv",
                   na.strings=c("NA","NaN"," ",""),
                   stringsAsFactors = FALSE)
BreastCancer <- as.data.frame(BreastCancer)

##################################
# Performing a general exploration of the data set
##################################
dim(BreastCancer)
## [1] 1138   32
str(BreastCancer)
## 'data.frame':    1138 obs. of  32 variables:
##  $ id                     : int  842302 842517 84300903 84348301 84358402 843786 844359 84458202 844981 84501001 ...
##  $ diagnosis              : chr  "M" "M" "M" "M" ...
##  $ radius_mean            : num  18 20.6 19.7 11.4 20.3 ...
##  $ texture_mean           : num  10.4 17.8 21.2 20.4 14.3 ...
##  $ perimeter_mean         : num  122.8 132.9 130 77.6 135.1 ...
##  $ area_mean              : num  1001 1326 1203 386 1297 ...
##  $ smoothness_mean        : num  0.1184 0.0847 0.1096 0.1425 0.1003 ...
##  $ compactness_mean       : num  0.2776 0.0786 0.1599 0.2839 0.1328 ...
##  $ concavity_mean         : num  0.3001 0.0869 0.1974 0.2414 0.198 ...
##  $ concave.points_mean    : num  0.1471 0.0702 0.1279 0.1052 0.1043 ...
##  $ symmetry_mean          : num  0.242 0.181 0.207 0.26 0.181 ...
##  $ fractal_dimension_mean : num  0.0787 0.0567 0.06 0.0974 0.0588 ...
##  $ radius_se              : num  1.095 0.543 0.746 0.496 0.757 ...
##  $ texture_se             : num  0.905 0.734 0.787 1.156 0.781 ...
##  $ perimeter_se           : num  8.59 3.4 4.58 3.44 5.44 ...
##  $ area_se                : num  153.4 74.1 94 27.2 94.4 ...
##  $ smoothness_se          : num  0.0064 0.00522 0.00615 0.00911 0.01149 ...
##  $ compactness_se         : num  0.049 0.0131 0.0401 0.0746 0.0246 ...
##  $ concavity_se           : num  0.0537 0.0186 0.0383 0.0566 0.0569 ...
##  $ concave.points_se      : num  0.0159 0.0134 0.0206 0.0187 0.0188 ...
##  $ symmetry_se            : num  0.03 0.0139 0.0225 0.0596 0.0176 ...
##  $ fractal_dimension_se   : num  0.00619 0.00353 0.00457 0.00921 0.00511 ...
##  $ radius_worst           : num  25.4 25 23.6 14.9 22.5 ...
##  $ texture_worst          : num  17.3 23.4 25.5 26.5 16.7 ...
##  $ perimeter_worst        : num  184.6 158.8 152.5 98.9 152.2 ...
##  $ area_worst             : num  2019 1956 1709 568 1575 ...
##  $ smoothness_worst       : num  0.162 0.124 0.144 0.21 0.137 ...
##  $ compactness_worst      : num  0.666 0.187 0.424 0.866 0.205 ...
##  $ concavity_worst        : num  0.712 0.242 0.45 0.687 0.4 ...
##  $ concave.points_worst   : num  0.265 0.186 0.243 0.258 0.163 ...
##  $ symmetry_worst         : num  0.46 0.275 0.361 0.664 0.236 ...
##  $ fractal_dimension_worst: num  0.1189 0.089 0.0876 0.173 0.0768 ...
summary(BreastCancer)
##        id             diagnosis          radius_mean      texture_mean  
##  Min.   :     8670   Length:1138        Min.   : 6.981   Min.   : 9.71  
##  1st Qu.:   869218   Class :character   1st Qu.:11.700   1st Qu.:16.17  
##  Median :   906024   Mode  :character   Median :13.370   Median :18.84  
##  Mean   : 30371831                      Mean   :14.127   Mean   :19.29  
##  3rd Qu.:  8813129                      3rd Qu.:15.780   3rd Qu.:21.80  
##  Max.   :911320502                      Max.   :28.110   Max.   :39.28  
##  perimeter_mean     area_mean      smoothness_mean   compactness_mean 
##  Min.   : 43.79   Min.   : 143.5   Min.   :0.05263   Min.   :0.01938  
##  1st Qu.: 75.17   1st Qu.: 420.3   1st Qu.:0.08637   1st Qu.:0.06492  
##  Median : 86.24   Median : 551.1   Median :0.09587   Median :0.09263  
##  Mean   : 91.97   Mean   : 654.9   Mean   :0.09636   Mean   :0.10434  
##  3rd Qu.:104.10   3rd Qu.: 782.7   3rd Qu.:0.10530   3rd Qu.:0.13040  
##  Max.   :188.50   Max.   :2501.0   Max.   :0.16340   Max.   :0.34540  
##  concavity_mean    concave.points_mean symmetry_mean    fractal_dimension_mean
##  Min.   :0.00000   Min.   :0.00000     Min.   :0.1060   Min.   :0.04996       
##  1st Qu.:0.02956   1st Qu.:0.02031     1st Qu.:0.1619   1st Qu.:0.05770       
##  Median :0.06154   Median :0.03350     Median :0.1792   Median :0.06154       
##  Mean   :0.08880   Mean   :0.04892     Mean   :0.1812   Mean   :0.06280       
##  3rd Qu.:0.13070   3rd Qu.:0.07400     3rd Qu.:0.1957   3rd Qu.:0.06612       
##  Max.   :0.42680   Max.   :0.20120     Max.   :0.3040   Max.   :0.09744       
##    radius_se        texture_se      perimeter_se       area_se       
##  Min.   :0.1115   Min.   :0.3602   Min.   : 0.757   Min.   :  6.802  
##  1st Qu.:0.2324   1st Qu.:0.8339   1st Qu.: 1.606   1st Qu.: 17.850  
##  Median :0.3242   Median :1.1080   Median : 2.287   Median : 24.530  
##  Mean   :0.4052   Mean   :1.2169   Mean   : 2.866   Mean   : 40.337  
##  3rd Qu.:0.4789   3rd Qu.:1.4740   3rd Qu.: 3.357   3rd Qu.: 45.190  
##  Max.   :2.8730   Max.   :4.8850   Max.   :21.980   Max.   :542.200  
##  smoothness_se      compactness_se      concavity_se     concave.points_se 
##  Min.   :0.001713   Min.   :0.002252   Min.   :0.00000   Min.   :0.000000  
##  1st Qu.:0.005169   1st Qu.:0.013080   1st Qu.:0.01509   1st Qu.:0.007638  
##  Median :0.006380   Median :0.020450   Median :0.02589   Median :0.010930  
##  Mean   :0.007041   Mean   :0.025478   Mean   :0.03189   Mean   :0.011796  
##  3rd Qu.:0.008146   3rd Qu.:0.032450   3rd Qu.:0.04205   3rd Qu.:0.014710  
##  Max.   :0.031130   Max.   :0.135400   Max.   :0.39600   Max.   :0.052790  
##   symmetry_se       fractal_dimension_se  radius_worst   texture_worst  
##  Min.   :0.007882   Min.   :0.0008948    Min.   : 7.93   Min.   :12.02  
##  1st Qu.:0.015160   1st Qu.:0.0022480    1st Qu.:13.01   1st Qu.:21.08  
##  Median :0.018730   Median :0.0031870    Median :14.97   Median :25.41  
##  Mean   :0.020542   Mean   :0.0037949    Mean   :16.27   Mean   :25.68  
##  3rd Qu.:0.023480   3rd Qu.:0.0045580    3rd Qu.:18.79   3rd Qu.:29.72  
##  Max.   :0.078950   Max.   :0.0298400    Max.   :36.04   Max.   :49.54  
##  perimeter_worst    area_worst     smoothness_worst  compactness_worst
##  Min.   : 50.41   Min.   : 185.2   Min.   :0.07117   Min.   :0.02729  
##  1st Qu.: 84.11   1st Qu.: 515.3   1st Qu.:0.11660   1st Qu.:0.14720  
##  Median : 97.66   Median : 686.5   Median :0.13130   Median :0.21190  
##  Mean   :107.26   Mean   : 880.6   Mean   :0.13237   Mean   :0.25427  
##  3rd Qu.:125.40   3rd Qu.:1084.0   3rd Qu.:0.14600   3rd Qu.:0.33910  
##  Max.   :251.20   Max.   :4254.0   Max.   :0.22260   Max.   :1.05800  
##  concavity_worst  concave.points_worst symmetry_worst   fractal_dimension_worst
##  Min.   :0.0000   Min.   :0.00000      Min.   :0.1565   Min.   :0.05504        
##  1st Qu.:0.1145   1st Qu.:0.06493      1st Qu.:0.2504   1st Qu.:0.07146        
##  Median :0.2267   Median :0.09993      Median :0.2822   Median :0.08004        
##  Mean   :0.2722   Mean   :0.11461      Mean   :0.2901   Mean   :0.08395        
##  3rd Qu.:0.3829   3rd Qu.:0.16140      3rd Qu.:0.3179   3rd Qu.:0.09208        
##  Max.   :1.2520   Max.   :0.29100      Max.   :0.6638   Max.   :0.20750
##################################
# Setting the data type
# for the response variable
##################################
BreastCancer$diagnosis <- factor(BreastCancer$diagnosis,
                                 levels = c("B","M"))

##################################
# Formulating a data type assessment summary
##################################
PDA <- BreastCancer
(PDA.Summary <- data.frame(
  Column.Index=c(1:length(names(PDA))),
  Column.Name= names(PDA), 
  Column.Type=sapply(PDA, function(x) class(x)), 
  row.names=NULL)
)
##    Column.Index             Column.Name Column.Type
## 1             1                      id     integer
## 2             2               diagnosis      factor
## 3             3             radius_mean     numeric
## 4             4            texture_mean     numeric
## 5             5          perimeter_mean     numeric
## 6             6               area_mean     numeric
## 7             7         smoothness_mean     numeric
## 8             8        compactness_mean     numeric
## 9             9          concavity_mean     numeric
## 10           10     concave.points_mean     numeric
## 11           11           symmetry_mean     numeric
## 12           12  fractal_dimension_mean     numeric
## 13           13               radius_se     numeric
## 14           14              texture_se     numeric
## 15           15            perimeter_se     numeric
## 16           16                 area_se     numeric
## 17           17           smoothness_se     numeric
## 18           18          compactness_se     numeric
## 19           19            concavity_se     numeric
## 20           20       concave.points_se     numeric
## 21           21             symmetry_se     numeric
## 22           22    fractal_dimension_se     numeric
## 23           23            radius_worst     numeric
## 24           24           texture_worst     numeric
## 25           25         perimeter_worst     numeric
## 26           26              area_worst     numeric
## 27           27        smoothness_worst     numeric
## 28           28       compactness_worst     numeric
## 29           29         concavity_worst     numeric
## 30           30    concave.points_worst     numeric
## 31           31          symmetry_worst     numeric
## 32           32 fractal_dimension_worst     numeric

1.2 Data Quality Assessment


[A] No missing observations noted for any predictor.

[B] Low variance observed for 1 predictor with First.Second.Mode.Ratio>5.
     [B.1] concavity_se = 6.50

[C] No low variance observed for any predictor with Unique.Count.Ratio<0.01.

[D] High skewness observed for 5 predictors with Skewness>3 or Skewness<(-3).
     [D.1] radius_se = +3.08
     [D.2] perimeter_se = +3.43
     [D.3] area_se = +5.43
     [D.4] concavity_se = +5.10
     [D.5] fractal_dimension_se = +3.91

Code Chunk | Output
##################################
# Loading dataset
##################################
DQA <- BreastCancer

##################################
# Formulating an overall data quality assessment summary
##################################
(DQA.Summary <- data.frame(
  Column.Name= names(DQA),
  Column.Type=sapply(DQA, function(x) class(x)),
  Row.Count=sapply(DQA, function(x) nrow(DQA)),
  NA.Count=sapply(DQA,function(x)sum(is.na(x))),
  Fill.Rate=sapply(DQA,function(x)format(round((sum(!is.na(x))/nrow(DQA)),3),nsmall=3)),
  row.names=NULL)
)
##                Column.Name Column.Type Row.Count NA.Count Fill.Rate
## 1                       id     integer      1138        0     1.000
## 2                diagnosis      factor      1138        0     1.000
## 3              radius_mean     numeric      1138        0     1.000
## 4             texture_mean     numeric      1138        0     1.000
## 5           perimeter_mean     numeric      1138        0     1.000
## 6                area_mean     numeric      1138        0     1.000
## 7          smoothness_mean     numeric      1138        0     1.000
## 8         compactness_mean     numeric      1138        0     1.000
## 9           concavity_mean     numeric      1138        0     1.000
## 10     concave.points_mean     numeric      1138        0     1.000
## 11           symmetry_mean     numeric      1138        0     1.000
## 12  fractal_dimension_mean     numeric      1138        0     1.000
## 13               radius_se     numeric      1138        0     1.000
## 14              texture_se     numeric      1138        0     1.000
## 15            perimeter_se     numeric      1138        0     1.000
## 16                 area_se     numeric      1138        0     1.000
## 17           smoothness_se     numeric      1138        0     1.000
## 18          compactness_se     numeric      1138        0     1.000
## 19            concavity_se     numeric      1138        0     1.000
## 20       concave.points_se     numeric      1138        0     1.000
## 21             symmetry_se     numeric      1138        0     1.000
## 22    fractal_dimension_se     numeric      1138        0     1.000
## 23            radius_worst     numeric      1138        0     1.000
## 24           texture_worst     numeric      1138        0     1.000
## 25         perimeter_worst     numeric      1138        0     1.000
## 26              area_worst     numeric      1138        0     1.000
## 27        smoothness_worst     numeric      1138        0     1.000
## 28       compactness_worst     numeric      1138        0     1.000
## 29         concavity_worst     numeric      1138        0     1.000
## 30    concave.points_worst     numeric      1138        0     1.000
## 31          symmetry_worst     numeric      1138        0     1.000
## 32 fractal_dimension_worst     numeric      1138        0     1.000
##################################
# Listing all Predictors
##################################
DQA.Predictors <- DQA[,!names(DQA) %in% c("id","diagnosis")]

##################################
# Listing all numeric Predictors
##################################
DQA.Predictors.Numeric <- DQA.Predictors[,sapply(DQA.Predictors, is.numeric)]

if (length(names(DQA.Predictors.Numeric))>0) {
    print(paste0("There are ",
               (length(names(DQA.Predictors.Numeric))),
               " numeric predictor variable(s)."))
} else {
  print("There are no numeric predictor variables.")
}
## [1] "There are 30 numeric predictor variable(s)."
##################################
# Listing all factor Predictors
##################################
DQA.Predictors.Factor <- DQA.Predictors[,sapply(DQA.Predictors, is.factor)]

if (length(names(DQA.Predictors.Factor))>0) {
    print(paste0("There are ",
               (length(names(DQA.Predictors.Factor))),
               " factor predictor variable(s)."))
} else {
  print("There are no factor predictor variables.")
}
## [1] "There are no factor predictor variables."
##################################
# Formulating a data quality assessment summary for factor Predictors
##################################
if (length(names(DQA.Predictors.Factor))>0) {

  ##################################
  # Formulating a function to determine the first mode
  ##################################
  FirstModes <- function(x) {
    ux <- unique(na.omit(x))
    tab <- tabulate(match(x, ux))
    ux[tab == max(tab)]
  }

  ##################################
  # Formulating a function to determine the second mode
  ##################################
  SecondModes <- function(x) {
    ux <- unique(na.omit(x))
    tab <- tabulate(match(x, ux))
    fm = ux[tab == max(tab)]
    sm = x[!(x %in% fm)]
    usm <- unique(sm)
    tabsm <- tabulate(match(sm, usm))
    ifelse(is.na(usm[tabsm == max(tabsm)])==TRUE,
           return("x"),
           return(usm[tabsm == max(tabsm)]))
  }

  (DQA.Predictors.Factor.Summary <- data.frame(
  Column.Name= names(DQA.Predictors.Factor),
  Column.Type=sapply(DQA.Predictors.Factor, function(x) class(x)),
  Unique.Count=sapply(DQA.Predictors.Factor, function(x) length(unique(x))),
  First.Mode.Value=sapply(DQA.Predictors.Factor, function(x) as.character(FirstModes(x)[1])),
  Second.Mode.Value=sapply(DQA.Predictors.Factor, function(x) as.character(SecondModes(x)[1])),
  First.Mode.Count=sapply(DQA.Predictors.Factor, function(x) sum(na.omit(x) == FirstModes(x)[1])),
  Second.Mode.Count=sapply(DQA.Predictors.Factor, function(x) sum(na.omit(x) == SecondModes(x)[1])),
  Unique.Count.Ratio=sapply(DQA.Predictors.Factor, function(x) format(round((length(unique(x))/nrow(DQA.Predictors.Factor)),3), nsmall=3)),
  First.Second.Mode.Ratio=sapply(DQA.Predictors.Factor, function(x) format(round((sum(na.omit(x) == FirstModes(x)[1])/sum(na.omit(x) == SecondModes(x)[1])),3), nsmall=3)),
  row.names=NULL)
  )

}

##################################
# Formulating a data quality assessment summary for numeric Predictors
##################################
if (length(names(DQA.Predictors.Numeric))>0) {

  ##################################
  # Formulating a function to determine the first mode
  ##################################
  FirstModes <- function(x) {
    ux <- unique(na.omit(x))
    tab <- tabulate(match(x, ux))
    ux[tab == max(tab)]
  }

  ##################################
  # Formulating a function to determine the second mode
  ##################################
  SecondModes <- function(x) {
    ux <- unique(na.omit(x))
    tab <- tabulate(match(x, ux))
    fm = ux[tab == max(tab)]
    sm = na.omit(x)[!(na.omit(x) %in% fm)]
    usm <- unique(sm)
    tabsm <- tabulate(match(sm, usm))
    ifelse(is.na(usm[tabsm == max(tabsm)])==TRUE,
           return(0.00001),
           return(usm[tabsm == max(tabsm)]))
  }

  (DQA.Predictors.Numeric.Summary <- data.frame(
  Column.Name= names(DQA.Predictors.Numeric),
  Column.Type=sapply(DQA.Predictors.Numeric, function(x) class(x)),
  Unique.Count=sapply(DQA.Predictors.Numeric, function(x) length(unique(x))),
  Unique.Count.Ratio=sapply(DQA.Predictors.Numeric, function(x) format(round((length(unique(x))/nrow(DQA.Predictors.Numeric)),3), nsmall=3)),
  First.Mode.Value=sapply(DQA.Predictors.Numeric, function(x) format(round((FirstModes(x)[1]),3),nsmall=3)),
  Second.Mode.Value=sapply(DQA.Predictors.Numeric, function(x) format(round((SecondModes(x)[1]),3),nsmall=3)),
  First.Mode.Count=sapply(DQA.Predictors.Numeric, function(x) sum(na.omit(x) == FirstModes(x)[1])),
  Second.Mode.Count=sapply(DQA.Predictors.Numeric, function(x) sum(na.omit(x) == SecondModes(x)[1])),
  First.Second.Mode.Ratio=sapply(DQA.Predictors.Numeric, function(x) format(round((sum(na.omit(x) == FirstModes(x)[1])/sum(na.omit(x) == SecondModes(x)[1])),3), nsmall=3)),
  Minimum=sapply(DQA.Predictors.Numeric, function(x) format(round(min(x,na.rm = TRUE),3), nsmall=3)),
  Mean=sapply(DQA.Predictors.Numeric, function(x) format(round(mean(x,na.rm = TRUE),3), nsmall=3)),
  Median=sapply(DQA.Predictors.Numeric, function(x) format(round(median(x,na.rm = TRUE),3), nsmall=3)),
  Maximum=sapply(DQA.Predictors.Numeric, function(x) format(round(max(x,na.rm = TRUE),3), nsmall=3)),
  Skewness=sapply(DQA.Predictors.Numeric, function(x) format(round(skewness(x,na.rm = TRUE),3), nsmall=3)),
  Kurtosis=sapply(DQA.Predictors.Numeric, function(x) format(round(kurtosis(x,na.rm = TRUE),3), nsmall=3)),
  Percentile25th=sapply(DQA.Predictors.Numeric, function(x) format(round(quantile(x,probs=0.25,na.rm = TRUE),3), nsmall=3)),
  Percentile75th=sapply(DQA.Predictors.Numeric, function(x) format(round(quantile(x,probs=0.75,na.rm = TRUE),3), nsmall=3)),
  row.names=NULL)
  )

}
##                Column.Name Column.Type Unique.Count Unique.Count.Ratio
## 1              radius_mean     numeric          456              0.401
## 2             texture_mean     numeric          479              0.421
## 3           perimeter_mean     numeric          522              0.459
## 4                area_mean     numeric          539              0.474
## 5          smoothness_mean     numeric          474              0.417
## 6         compactness_mean     numeric          537              0.472
## 7           concavity_mean     numeric          537              0.472
## 8      concave.points_mean     numeric          542              0.476
## 9            symmetry_mean     numeric          432              0.380
## 10  fractal_dimension_mean     numeric          499              0.438
## 11               radius_se     numeric          540              0.475
## 12              texture_se     numeric          519              0.456
## 13            perimeter_se     numeric          533              0.468
## 14                 area_se     numeric          528              0.464
## 15           smoothness_se     numeric          547              0.481
## 16          compactness_se     numeric          541              0.475
## 17            concavity_se     numeric          533              0.468
## 18       concave.points_se     numeric          507              0.446
## 19             symmetry_se     numeric          498              0.438
## 20    fractal_dimension_se     numeric          545              0.479
## 21            radius_worst     numeric          457              0.402
## 22           texture_worst     numeric          511              0.449
## 23         perimeter_worst     numeric          514              0.452
## 24              area_worst     numeric          544              0.478
## 25        smoothness_worst     numeric          411              0.361
## 26       compactness_worst     numeric          529              0.465
## 27         concavity_worst     numeric          539              0.474
## 28    concave.points_worst     numeric          492              0.432
## 29          symmetry_worst     numeric          500              0.439
## 30 fractal_dimension_worst     numeric          535              0.470
##    First.Mode.Value Second.Mode.Value First.Mode.Count Second.Mode.Count
## 1            12.340            13.000                8                 6
## 2            15.700            21.250                6                 4
## 3            82.610           132.900                6                 4
## 4           512.200           658.800                6                 4
## 5             0.101             0.108               10                 8
## 6             0.121             0.160                6                 4
## 7             0.000             0.120               26                 6
## 8             0.000             0.029               26                 6
## 9             0.177             0.181                8                 6
## 10            0.057             0.059                6                 4
## 11            0.286             0.298                6                 4
## 12            1.150             0.734                6                 4
## 13            1.778             2.406                8                 4
## 14           16.970            74.080                6                 4
## 15            0.006             0.005                4                 2
## 16            0.023             0.014                6                 4
## 17            0.000             0.017               26                 4
## 18            0.000             0.012               26                 6
## 19            0.013             0.015                8                 6
## 20            0.003             0.006                4                 2
## 21           12.360            13.340               10                 8
## 22           27.260            27.660                6                 4
## 23          117.700           184.600                6                 4
## 24         1269.000          2019.000                4                 2
## 25            0.131             0.149                8                 6
## 26            0.342             0.177                6                 4
## 27            0.000             0.450               26                 6
## 28            0.000             0.026               26                 6
## 29            0.320             0.361                6                 4
## 30            0.074             0.084                6                 4
##    First.Second.Mode.Ratio Minimum    Mean  Median  Maximum Skewness Kurtosis
## 1                    1.333   6.981  14.127  13.370   28.110    0.940    3.828
## 2                    1.500   9.710  19.290  18.840   39.280    0.649    3.741
## 3                    1.500  43.790  91.969  86.240  188.500    0.988    3.953
## 4                    1.500 143.500 654.889 551.100 2501.000    1.641    6.610
## 5                    1.250   0.053   0.096   0.096    0.163    0.455    3.838
## 6                    1.500   0.019   0.104   0.093    0.345    1.187    4.625
## 7                    4.333   0.000   0.089   0.062    0.427    1.397    4.971
## 8                    4.333   0.000   0.049   0.034    0.201    1.168    4.047
## 9                    1.333   0.106   0.181   0.179    0.304    0.724    4.266
## 10                   1.500   0.050   0.063   0.062    0.097    1.301    5.969
## 11                   1.500   0.112   0.405   0.324    2.873    3.080   20.521
## 12                   1.500   0.360   1.217   1.108    4.885    1.642    8.292
## 13                   2.000   0.757   2.866   2.287   21.980    3.435   24.204
## 14                   1.500   6.802  40.337  24.530  542.200    5.433   51.767
## 15                   2.000   0.002   0.007   0.006    0.031    2.308   13.368
## 16                   1.500   0.002   0.025   0.020    0.135    1.897    8.051
## 17                   6.500   0.000   0.032   0.026    0.396    5.097   51.423
## 18                   4.333   0.000   0.012   0.011    0.053    1.441    8.071
## 19                   1.333   0.008   0.021   0.019    0.079    2.189   10.816
## 20                   2.000   0.001   0.004   0.003    0.030    3.914   29.040
## 21                   1.250   7.930  16.269  14.970   36.040    1.100    3.925
## 22                   1.500  12.020  25.677  25.410   49.540    0.497    3.212
## 23                   1.500  50.410 107.261  97.660  251.200    1.125    4.050
## 24                   2.000 185.200 880.583 686.500 4254.000    1.854    7.347
## 25                   1.333   0.071   0.132   0.131    0.223    0.414    3.503
## 26                   1.500   0.027   0.254   0.212    1.058    1.470    6.002
## 27                   4.333   0.000   0.272   0.227    1.252    1.147    4.591
## 28                   4.333   0.000   0.115   0.100    0.291    0.491    2.459
## 29                   1.500   0.156   0.290   0.282    0.664    1.430    7.395
## 30                   1.500   0.055   0.084   0.080    0.208    1.658    8.188
##    Percentile25th Percentile75th
## 1          11.700         15.780
## 2          16.170         21.800
## 3          75.170        104.100
## 4         420.300        782.700
## 5           0.086          0.105
## 6           0.065          0.130
## 7           0.030          0.131
## 8           0.020          0.074
## 9           0.162          0.196
## 10          0.058          0.066
## 11          0.232          0.479
## 12          0.834          1.474
## 13          1.606          3.357
## 14         17.850         45.190
## 15          0.005          0.008
## 16          0.013          0.032
## 17          0.015          0.042
## 18          0.008          0.015
## 19          0.015          0.023
## 20          0.002          0.005
## 21         13.010         18.790
## 22         21.080         29.720
## 23         84.110        125.400
## 24        515.300       1084.000
## 25          0.117          0.146
## 26          0.147          0.339
## 27          0.114          0.383
## 28          0.065          0.161
## 29          0.250          0.318
## 30          0.071          0.092
##################################
# Identifying potential data quality issues
##################################

##################################
# Checking for missing observations
##################################
if ((nrow(DQA.Summary[DQA.Summary$NA.Count>0,]))>0){
  print(paste0("Missing observations noted for ",
               (nrow(DQA.Summary[DQA.Summary$NA.Count>0,])),
               " variable(s) with NA.Count>0 and Fill.Rate<1.0."))
  DQA.Summary[DQA.Summary$NA.Count>0,]
} else {
  print("No missing observations noted.")
}
## [1] "No missing observations noted."
##################################
# Checking for zero or near-zero variance Predictors
##################################
if (length(names(DQA.Predictors.Factor))==0) {
  print("No factor predictors noted.")
} else if (nrow(DQA.Predictors.Factor.Summary[as.numeric(as.character(DQA.Predictors.Factor.Summary$First.Second.Mode.Ratio))>5,])>0){
  print(paste0("Low variance observed for ",
               (nrow(DQA.Predictors.Factor.Summary[as.numeric(as.character(DQA.Predictors.Factor.Summary$First.Second.Mode.Ratio))>5,])),
               " factor variable(s) with First.Second.Mode.Ratio>5."))
  DQA.Predictors.Factor.Summary[as.numeric(as.character(DQA.Predictors.Factor.Summary$First.Second.Mode.Ratio))>5,]
} else {
  print("No low variance factor predictors due to high first-second mode ratio noted.")
}
## [1] "No factor predictors noted."
if (length(names(DQA.Predictors.Numeric))==0) {
  print("No numeric predictors noted.")
} else if (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$First.Second.Mode.Ratio))>5,])>0){
  print(paste0("Low variance observed for ",
               (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$First.Second.Mode.Ratio))>5,])),
               " numeric variable(s) with First.Second.Mode.Ratio>5."))
  DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$First.Second.Mode.Ratio))>5,]
} else {
  print("No low variance numeric predictors due to high first-second mode ratio noted.")
}
## [1] "Low variance observed for 1 numeric variable(s) with First.Second.Mode.Ratio>5."
##     Column.Name Column.Type Unique.Count Unique.Count.Ratio First.Mode.Value
## 17 concavity_se     numeric          533              0.468            0.000
##    Second.Mode.Value First.Mode.Count Second.Mode.Count First.Second.Mode.Ratio
## 17             0.017               26                 4                   6.500
##    Minimum  Mean Median Maximum Skewness Kurtosis Percentile25th Percentile75th
## 17   0.000 0.032  0.026   0.396    5.097   51.423          0.015          0.042
if (length(names(DQA.Predictors.Numeric))==0) {
  print("No numeric predictors noted.")
} else if (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Unique.Count.Ratio))<0.01,])>0){
  print(paste0("Low variance observed for ",
               (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Unique.Count.Ratio))<0.01,])),
               " numeric variable(s) with Unique.Count.Ratio<0.01."))
  DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Unique.Count.Ratio))<0.01,]
} else {
  print("No low variance numeric predictors due to low unique count ratio noted.")
}
## [1] "No low variance numeric predictors due to low unique count ratio noted."
##################################
# Checking for skewed Predictors
##################################
if (length(names(DQA.Predictors.Numeric))==0) {
  print("No numeric predictors noted.")
} else if (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))>3 |
                                               as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))<(-3),])>0){
  print(paste0("High skewness observed for ",
  (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))>3 |
                                               as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))<(-3),])),
  " numeric variable(s) with Skewness>3 or Skewness<(-3)."))
  DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))>3 |
                                 as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))<(-3),]
} else {
  print("No skewed numeric predictors noted.")
}
## [1] "High skewness observed for 5 numeric variable(s) with Skewness>3 or Skewness<(-3)."
##             Column.Name Column.Type Unique.Count Unique.Count.Ratio
## 11            radius_se     numeric          540              0.475
## 13         perimeter_se     numeric          533              0.468
## 14              area_se     numeric          528              0.464
## 17         concavity_se     numeric          533              0.468
## 20 fractal_dimension_se     numeric          545              0.479
##    First.Mode.Value Second.Mode.Value First.Mode.Count Second.Mode.Count
## 11            0.286             0.298                6                 4
## 13            1.778             2.406                8                 4
## 14           16.970            74.080                6                 4
## 17            0.000             0.017               26                 4
## 20            0.003             0.006                4                 2
##    First.Second.Mode.Ratio Minimum   Mean Median Maximum Skewness Kurtosis
## 11                   1.500   0.112  0.405  0.324   2.873    3.080   20.521
## 13                   2.000   0.757  2.866  2.287  21.980    3.435   24.204
## 14                   1.500   6.802 40.337 24.530 542.200    5.433   51.767
## 17                   6.500   0.000  0.032  0.026   0.396    5.097   51.423
## 20                   2.000   0.001  0.004  0.003   0.030    3.914   29.040
##    Percentile25th Percentile75th
## 11          0.232          0.479
## 13          1.606          3.357
## 14         17.850         45.190
## 17          0.015          0.042
## 20          0.002          0.005

1.3 Data Preprocessing

1.3.1 Outlier Detection


[A] Outliers noted for 29 out of the 30 predictors. Predictor values were visualized through a boxplot including observations classified as suspected outliers using the IQR criterion. The IQR criterion means that all observations above the (75th percentile + 1.5 x IQR) or below the (25th percentile - 1.5 x IQR) are suspected outliers, where IQR is the difference between the third quartile (75th percentile) and first quartile (25th percentile).
     [A.1] radius_mean = 28
     [A.2] texture_mean = 14
     [A.3] perimeter_mean = 26
     [A.4] area_mean = 50
     [A.5] smoothness_mean = 12
     [A.6] compactness_mean = 32
     [A.7] concavity_mean = 36
     [A.8] concave.points_mean = 20
     [A.9] symmetry_mean = 30
     [A.10] fractal_dimension_mean = 30
     [A.11] radius_se = 76
     [A.12] texture_se = 40
     [A.13] perimeter_se = 76
     [A.14] area_se = 130
     [A.15] smoothness_se = 60
     [A.16] compactness_se = 56
     [A.17] concavity_se = 44
     [A.18] concave.points_se = 38
     [A.19] symmetry_se = 54
     [A.20] fractal_dimension_se = 56
     [A.21] radius_worst = 34
     [A.22] texture_worst = 10
     [A.23] perimeter_worst = 30
     [A.24] area_worst = 70
     [A.25] smoothness_worst = 14
     [A.26] compactness_worst = 32
     [A.27] concavity_worst = 24
     [A.28] symmetry_worst = 46
     [A.29] fractal_dimension_worst = 48

Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- DQA[,!names(DQA) %in% c("id")]

##################################
# Gathering descriptive statistics
##################################
(DPA_Skimmed <- skim(DPA)) 
Data summary
Name DPA
Number of rows 1138
Number of columns 31
_______________________
Column type frequency:
factor 1
numeric 30
________________________
Group variables None

Variable type: factor

skim_variable n_missing complete_rate ordered n_unique top_counts
diagnosis 0 1 FALSE 2 B: 714, M: 424

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
radius_mean 0 1 14.13 3.52 6.98 11.70 13.37 15.78 28.11 ▂▇▃▁▁
texture_mean 0 1 19.29 4.30 9.71 16.17 18.84 21.80 39.28 ▃▇▃▁▁
perimeter_mean 0 1 91.97 24.29 43.79 75.17 86.24 104.10 188.50 ▃▇▃▁▁
area_mean 0 1 654.89 351.76 143.50 420.30 551.10 782.70 2501.00 ▇▃▂▁▁
smoothness_mean 0 1 0.10 0.01 0.05 0.09 0.10 0.11 0.16 ▁▇▇▁▁
compactness_mean 0 1 0.10 0.05 0.02 0.06 0.09 0.13 0.35 ▇▇▂▁▁
concavity_mean 0 1 0.09 0.08 0.00 0.03 0.06 0.13 0.43 ▇▃▂▁▁
concave.points_mean 0 1 0.05 0.04 0.00 0.02 0.03 0.07 0.20 ▇▃▂▁▁
symmetry_mean 0 1 0.18 0.03 0.11 0.16 0.18 0.20 0.30 ▁▇▅▁▁
fractal_dimension_mean 0 1 0.06 0.01 0.05 0.06 0.06 0.07 0.10 ▆▇▂▁▁
radius_se 0 1 0.41 0.28 0.11 0.23 0.32 0.48 2.87 ▇▁▁▁▁
texture_se 0 1 1.22 0.55 0.36 0.83 1.11 1.47 4.88 ▇▅▁▁▁
perimeter_se 0 1 2.87 2.02 0.76 1.61 2.29 3.36 21.98 ▇▁▁▁▁
area_se 0 1 40.34 45.47 6.80 17.85 24.53 45.19 542.20 ▇▁▁▁▁
smoothness_se 0 1 0.01 0.00 0.00 0.01 0.01 0.01 0.03 ▇▃▁▁▁
compactness_se 0 1 0.03 0.02 0.00 0.01 0.02 0.03 0.14 ▇▃▁▁▁
concavity_se 0 1 0.03 0.03 0.00 0.02 0.03 0.04 0.40 ▇▁▁▁▁
concave.points_se 0 1 0.01 0.01 0.00 0.01 0.01 0.01 0.05 ▇▇▁▁▁
symmetry_se 0 1 0.02 0.01 0.01 0.02 0.02 0.02 0.08 ▇▃▁▁▁
fractal_dimension_se 0 1 0.00 0.00 0.00 0.00 0.00 0.00 0.03 ▇▁▁▁▁
radius_worst 0 1 16.27 4.83 7.93 13.01 14.97 18.79 36.04 ▆▇▃▁▁
texture_worst 0 1 25.68 6.14 12.02 21.08 25.41 29.72 49.54 ▃▇▆▁▁
perimeter_worst 0 1 107.26 33.59 50.41 84.11 97.66 125.40 251.20 ▇▇▃▁▁
area_worst 0 1 880.58 569.11 185.20 515.30 686.50 1084.00 4254.00 ▇▂▁▁▁
smoothness_worst 0 1 0.13 0.02 0.07 0.12 0.13 0.15 0.22 ▂▇▇▂▁
compactness_worst 0 1 0.25 0.16 0.03 0.15 0.21 0.34 1.06 ▇▅▁▁▁
concavity_worst 0 1 0.27 0.21 0.00 0.11 0.23 0.38 1.25 ▇▅▂▁▁
concave.points_worst 0 1 0.11 0.07 0.00 0.06 0.10 0.16 0.29 ▅▇▅▃▁
symmetry_worst 0 1 0.29 0.06 0.16 0.25 0.28 0.32 0.66 ▅▇▁▁▁
fractal_dimension_worst 0 1 0.08 0.02 0.06 0.07 0.08 0.09 0.21 ▇▃▁▁▁
##################################
# Outlier Detection
##################################

##################################
# Listing all Predictors
##################################
DPA.Predictors <- DPA[,!names(DPA) %in% c("diagnosis")]

##################################
# Listing all numeric Predictors
##################################
DPA.Predictors.Numeric <- DPA.Predictors[,sapply(DPA.Predictors, is.numeric)]

##################################
# Identifying outliers for the numeric Predictors
##################################
OutlierCountList <- c()

for (i in 1:ncol(DPA.Predictors.Numeric)) {
  Outliers <- boxplot.stats(DPA.Predictors.Numeric[,i])$out
  OutlierCount <- length(Outliers)
  OutlierCountList <- append(OutlierCountList,OutlierCount)
  OutlierIndices <- which(DPA.Predictors.Numeric[,i] %in% c(Outliers))
  print(
  ggplot(DPA.Predictors.Numeric, aes(x=DPA.Predictors.Numeric[,i])) +
  geom_boxplot() +
  theme_bw() +
  theme(axis.text.y=element_blank(), 
        axis.ticks.y=element_blank()) +
  xlab(names(DPA.Predictors.Numeric)[i]) +
  labs(title=names(DPA.Predictors.Numeric)[i],
       subtitle=paste0(OutlierCount, " Outlier(s) Detected")))
}

1.3.2 Zero and Near-Zero Variance


[A] No low variance observed for any predictor using a preprocessing summary from the caret package. The nearZeroVar method using both the freqCut and uniqueCut criteria set at 95/5 and 10, respectively, were applied on the dataset.

Code Chunk | Output
##################################
# Zero and Near-Zero Variance
##################################

##################################
# Identifying columns with low variance
###################################
DPA_LowVariance <- nearZeroVar(DPA,
                               freqCut = 80/20,
                               uniqueCut = 10,
                               saveMetrics= TRUE)
(DPA_LowVariance[DPA_LowVariance$nzv,])
## [1] freqRatio     percentUnique zeroVar       nzv          
## <0 rows> (or 0-length row.names)
if ((nrow(DPA_LowVariance[DPA_LowVariance$nzv,]))==0){
  
  print("No low variance descriptors noted.")
  
} else {

  print(paste0("Low variance observed for ",
               (nrow(DPA_LowVariance[DPA_LowVariance$nzv,])),
               " numeric variable(s) with First.Second.Mode.Ratio>4 and Unique.Count.Ratio<0.10."))
  
  DPA_LowVarianceForRemoval <- (nrow(DPA_LowVariance[DPA_LowVariance$nzv,]))
  
  print(paste0("Low variance can be resolved by removing ",
               (nrow(DPA_LowVariance[DPA_LowVariance$nzv,])),
               " numeric variable(s)."))
  
  for (j in 1:DPA_LowVarianceForRemoval) {
  DPA_LowVarianceRemovedVariable <- rownames(DPA_LowVariance[DPA_LowVariance$nzv,])[j]
  print(paste0("Variable ",
               j,
               " for removal: ",
               DPA_LowVarianceRemovedVariable))
  }
  
  DPA %>%
  skim() %>%
  dplyr::filter(skim_variable %in% rownames(DPA_LowVariance[DPA_LowVariance$nzv,]))

}
## [1] "No low variance descriptors noted."

1.3.3 Collinearity


[A] High correlation values were noted for 15 pairs of numeric predictors with Pearson correlation coefficients >80% as confirmed using the preprocessing summaries from the caret package.
     [A.1] radius_mean and perimeter_mean = +100%
     [A.2] radius_worst and perimeter_worst = +99%
     [A.3] radius_mean and area_mean = +99%
     [A.4] perimeter_mean and area_mean = +99%
     [A.5] radius_worst and area_worst = +98%
     [A.6] perimeter_worst and area_worst = +98%
     [A.7] radius_se and perimeter_se = +97%
     [A.8] perimeter_mean and perimeter_worst = +97%
     [A.9] radius_mean and radius_worst = +97%
     [A.10] perimeter_mean and radius_worst = +97%%
     [A.11] radius_mean and perimeter_worst = +96%
     [A.12] area_mean and radius_worst = +96%
     [A.13] area_mean and area_worst = +96%
     [A.14] area_mean and perimeter_worst = +96%
     [A.15] radius_se and area_se = +95%

[B] 7 predictors driving high pairwise correlation were recommended for removal using the findCorrelation preprocessing method from the caret package. The function looks at the mean absolute correlation of each predictor and removes that with the largest mean absolute correlation.
     [B.1] perimeter_worst
     [B.2] radius_worst
     [B.3] perimeter_mean
     [B.4] area_worst
     [B.5] radius_mean
     [B.6] perimeter_se
     [B.7] area_se

Code Chunk | Output
##################################
# Visualizing pairwise correlation between Predictor
##################################
(DPA_Correlation <- cor(DPA.Predictors.Numeric,
                        method = "pearson",
                        use="pairwise.complete.obs"))
##                          radius_mean texture_mean perimeter_mean    area_mean
## radius_mean              1.000000000  0.323781891    0.997855281  0.987357170
## texture_mean             0.323781891  1.000000000    0.329533059  0.321085696
## perimeter_mean           0.997855281  0.329533059    1.000000000  0.986506804
## area_mean                0.987357170  0.321085696    0.986506804  1.000000000
## smoothness_mean          0.170581187 -0.023388516    0.207278164  0.177028377
## compactness_mean         0.506123578  0.236702222    0.556936211  0.498501682
## concavity_mean           0.676763550  0.302417828    0.716135650  0.685982829
## concave.points_mean      0.822528522  0.293464051    0.850977041  0.823268869
## symmetry_mean            0.147741242  0.071400980    0.183027212  0.151293079
## fractal_dimension_mean  -0.311630826 -0.076437183   -0.261476908 -0.283109812
## radius_se                0.679090388  0.275868676    0.691765014  0.732562227
## texture_se              -0.097317443  0.386357623   -0.086761078 -0.066280214
## perimeter_se             0.674171616  0.281673115    0.693134890  0.726628328
## area_se                  0.735863663  0.259844987    0.744982694  0.800085921
## smoothness_se           -0.222600125  0.006613777   -0.202694026 -0.166776667
## compactness_se           0.205999980  0.191974611    0.250743681  0.212582551
## concavity_se             0.194203623  0.143293077    0.228082345  0.207660060
## concave.points_se        0.376168956  0.163851025    0.407216916  0.372320282
## symmetry_se             -0.104320881  0.009127168   -0.081629327 -0.072496588
## fractal_dimension_se    -0.042641269  0.054457520   -0.005523391 -0.019886963
## radius_worst             0.969538973  0.352572947    0.969476363  0.962746086
## texture_worst            0.297007644  0.912044589    0.303038372  0.287488627
## perimeter_worst          0.965136514  0.358039575    0.970386887  0.959119574
## area_worst               0.941082460  0.343545947    0.941549808  0.959213326
## smoothness_worst         0.119616140  0.077503359    0.150549404  0.123522939
## compactness_worst        0.413462823  0.277829592    0.455774228  0.390410309
## concavity_worst          0.526911462  0.301025224    0.563879263  0.512605920
## concave.points_worst     0.744214198  0.295315843    0.771240789  0.722016626
## symmetry_worst           0.163953335  0.105007910    0.189115040  0.143569914
## fractal_dimension_worst  0.007065886  0.119205351    0.051018530  0.003737597
##                         smoothness_mean compactness_mean concavity_mean
## radius_mean                  0.17058119       0.50612358     0.67676355
## texture_mean                -0.02338852       0.23670222     0.30241783
## perimeter_mean               0.20727816       0.55693621     0.71613565
## area_mean                    0.17702838       0.49850168     0.68598283
## smoothness_mean              1.00000000       0.65912322     0.52198377
## compactness_mean             0.65912322       1.00000000     0.88312067
## concavity_mean               0.52198377       0.88312067     1.00000000
## concave.points_mean          0.55369517       0.83113504     0.92139103
## symmetry_mean                0.55777479       0.60264105     0.50066662
## fractal_dimension_mean       0.58479200       0.56536866     0.33678336
## radius_se                    0.30146710       0.49747345     0.63192482
## texture_se                   0.06840645       0.04620483     0.07621835
## perimeter_se                 0.29609193       0.54890526     0.66039079
## area_se                      0.24655243       0.45565285     0.61742681
## smoothness_se                0.33237544       0.13529927     0.09856375
## compactness_se               0.31894330       0.73872179     0.67027882
## concavity_se                 0.24839568       0.57051687     0.69127021
## concave.points_se            0.38067569       0.64226185     0.68325992
## symmetry_se                  0.20077438       0.22997659     0.17800921
## fractal_dimension_se         0.28360670       0.50731813     0.44930075
## radius_worst                 0.21312014       0.53531540     0.68823641
## texture_worst                0.03607180       0.24813283     0.29987889
## perimeter_worst              0.23885263       0.59021043     0.72956492
## area_worst                   0.20671836       0.50960381     0.67598723
## smoothness_worst             0.80532420       0.56554117     0.44882204
## compactness_worst            0.47246844       0.86580904     0.75496802
## concavity_worst              0.43492571       0.81627525     0.88410264
## concave.points_worst         0.50305335       0.81557322     0.86132303
## symmetry_worst               0.39430948       0.51022343     0.40946413
## fractal_dimension_worst      0.49931637       0.68738232     0.51492989
##                         concave.points_mean symmetry_mean
## radius_mean                      0.82252852    0.14774124
## texture_mean                     0.29346405    0.07140098
## perimeter_mean                   0.85097704    0.18302721
## area_mean                        0.82326887    0.15129308
## smoothness_mean                  0.55369517    0.55777479
## compactness_mean                 0.83113504    0.60264105
## concavity_mean                   0.92139103    0.50066662
## concave.points_mean              1.00000000    0.46249739
## symmetry_mean                    0.46249739    1.00000000
## fractal_dimension_mean           0.16691738    0.47992133
## radius_se                        0.69804983    0.30337926
## texture_se                       0.02147958    0.12805293
## perimeter_se                     0.71064987    0.31389276
## area_se                          0.69029854    0.22397022
## smoothness_se                    0.02765331    0.18732117
## compactness_se                   0.49042425    0.42165915
## concavity_se                     0.43916707    0.34262702
## concave.points_se                0.61563413    0.39329787
## symmetry_se                      0.09535079    0.44913654
## fractal_dimension_se             0.25758375    0.33178615
## radius_worst                     0.83031763    0.18572775
## texture_worst                    0.29275171    0.09065069
## perimeter_worst                  0.85592313    0.21916856
## area_worst                       0.80962962    0.17719338
## smoothness_worst                 0.45275305    0.42667503
## compactness_worst                0.66745368    0.47320001
## concavity_worst                  0.75239950    0.43372101
## concave.points_worst             0.91015531    0.43029661
## symmetry_worst                   0.37574415    0.69982580
## fractal_dimension_worst          0.36866113    0.43841350
##                         fractal_dimension_mean    radius_se  texture_se
## radius_mean                      -0.3116308263 0.6790903880 -0.09731744
## texture_mean                     -0.0764371834 0.2758686762  0.38635762
## perimeter_mean                   -0.2614769081 0.6917650135 -0.08676108
## area_mean                        -0.2831098117 0.7325622270 -0.06628021
## smoothness_mean                   0.5847920019 0.3014670983  0.06840645
## compactness_mean                  0.5653686634 0.4974734461  0.04620483
## concavity_mean                    0.3367833594 0.6319248221  0.07621835
## concave.points_mean               0.1669173832 0.6980498336  0.02147958
## symmetry_mean                     0.4799213301 0.3033792632  0.12805293
## fractal_dimension_mean            1.0000000000 0.0001109951  0.16417397
## radius_se                         0.0001109951 1.0000000000  0.21324734
## texture_se                        0.1641739659 0.2132473373  1.00000000
## perimeter_se                      0.0398299316 0.9727936770  0.22317073
## area_se                          -0.0901702475 0.9518301121  0.11156725
## smoothness_se                     0.4019644254 0.1645142198  0.39724285
## compactness_se                    0.5598366906 0.3560645755  0.23169970
## concavity_se                      0.4466303217 0.3323575376  0.19499846
## concave.points_se                 0.3411980444 0.5133464414  0.23028340
## symmetry_se                       0.3450073971 0.2405673625  0.41162068
## fractal_dimension_se              0.6881315775 0.2277535327  0.27972275
## radius_worst                     -0.2536914949 0.7150651951 -0.11169031
## texture_worst                    -0.0512692020 0.1947985568  0.40900277
## perimeter_worst                  -0.2051512113 0.7196838037 -0.10224192
## area_worst                       -0.2318544512 0.7515484761 -0.08319499
## smoothness_worst                  0.5049420754 0.1419185529 -0.07365766
## compactness_worst                 0.4587981567 0.2871031656 -0.09243935
## concavity_worst                   0.3462338763 0.3805846346 -0.06895622
## concave.points_worst              0.1753254492 0.5310623278 -0.11963752
## symmetry_worst                    0.3340186839 0.0945428304 -0.12821476
## fractal_dimension_worst           0.7672967792 0.0495594325 -0.04565457
##                         perimeter_se     area_se smoothness_se compactness_se
## radius_mean               0.67417162  0.73586366  -0.222600125      0.2060000
## texture_mean              0.28167311  0.25984499   0.006613777      0.1919746
## perimeter_mean            0.69313489  0.74498269  -0.202694026      0.2507437
## area_mean                 0.72662833  0.80008592  -0.166776667      0.2125826
## smoothness_mean           0.29609193  0.24655243   0.332375443      0.3189433
## compactness_mean          0.54890526  0.45565285   0.135299268      0.7387218
## concavity_mean            0.66039079  0.61742681   0.098563746      0.6702788
## concave.points_mean       0.71064987  0.69029854   0.027653308      0.4904242
## symmetry_mean             0.31389276  0.22397022   0.187321165      0.4216591
## fractal_dimension_mean    0.03982993 -0.09017025   0.401964425      0.5598367
## radius_se                 0.97279368  0.95183011   0.164514220      0.3560646
## texture_se                0.22317073  0.11156725   0.397242853      0.2316997
## perimeter_se              1.00000000  0.93765541   0.151075331      0.4163224
## area_se                   0.93765541  1.00000000   0.075150338      0.2848401
## smoothness_se             0.15107533  0.07515034   1.000000000      0.3366961
## compactness_se            0.41632237  0.28484006   0.336696081      1.0000000
## concavity_se              0.36248158  0.27089473   0.268684760      0.8012683
## concave.points_se         0.55626408  0.41572957   0.328429499      0.7440827
## symmetry_se               0.26648709  0.13410898   0.413506125      0.3947128
## fractal_dimension_se      0.24414277  0.12707090   0.427374207      0.8032688
## radius_worst              0.69720059  0.75737319  -0.230690710      0.2046072
## texture_worst             0.20037085  0.19649665  -0.074742965      0.1430026
## perimeter_worst           0.72103131  0.76121264  -0.217303755      0.2605158
## area_worst                0.73071297  0.81140796  -0.182195478      0.1993713
## smoothness_worst          0.13005439  0.12538943   0.314457456      0.2273942
## compactness_worst         0.34191945  0.28325654  -0.055558139      0.6787804
## concavity_worst           0.41889882  0.38510014  -0.058298387      0.6391467
## concave.points_worst      0.55489723  0.53816631  -0.102006796      0.4832083
## symmetry_worst            0.10993043  0.07412629  -0.107342098      0.2778784
## fractal_dimension_worst   0.08543257  0.01753930   0.101480315      0.5909728
##                         concavity_se concave.points_se  symmetry_se
## radius_mean                0.1942036        0.37616896 -0.104320881
## texture_mean               0.1432931        0.16385103  0.009127168
## perimeter_mean             0.2280823        0.40721692 -0.081629327
## area_mean                  0.2076601        0.37232028 -0.072496588
## smoothness_mean            0.2483957        0.38067569  0.200774376
## compactness_mean           0.5705169        0.64226185  0.229976591
## concavity_mean             0.6912702        0.68325992  0.178009208
## concave.points_mean        0.4391671        0.61563413  0.095350787
## symmetry_mean              0.3426270        0.39329787  0.449136542
## fractal_dimension_mean     0.4466303        0.34119804  0.345007397
## radius_se                  0.3323575        0.51334644  0.240567362
## texture_se                 0.1949985        0.23028340  0.411620680
## perimeter_se               0.3624816        0.55626408  0.266487092
## area_se                    0.2708947        0.41572957  0.134108980
## smoothness_se              0.2686848        0.32842950  0.413506125
## compactness_se             0.8012683        0.74408267  0.394712835
## concavity_se               1.0000000        0.77180399  0.309428578
## concave.points_se          0.7718040        1.00000000  0.312780223
## symmetry_se                0.3094286        0.31278022  1.000000000
## fractal_dimension_se       0.7273722        0.61104414  0.369078083
## radius_worst               0.1869035        0.35812667 -0.128120769
## texture_worst              0.1002410        0.08674121 -0.077473420
## perimeter_worst            0.2266804        0.39499925 -0.103753044
## area_worst                 0.1883527        0.34227116 -0.110342743
## smoothness_worst           0.1684813        0.21535060 -0.012661800
## compactness_worst          0.4848578        0.45288838  0.060254879
## concavity_worst            0.6625641        0.54959238  0.037119049
## concave.points_worst       0.4404723        0.60244961 -0.030413396
## symmetry_worst             0.1977878        0.14311567  0.389402485
## fractal_dimension_worst    0.4393293        0.31065455  0.078079476
##                         fractal_dimension_se radius_worst texture_worst
## radius_mean                     -0.042641269   0.96953897   0.297007644
## texture_mean                     0.054457520   0.35257295   0.912044589
## perimeter_mean                  -0.005523391   0.96947636   0.303038372
## area_mean                       -0.019886963   0.96274609   0.287488627
## smoothness_mean                  0.283606699   0.21312014   0.036071799
## compactness_mean                 0.507318127   0.53531540   0.248132833
## concavity_mean                   0.449300749   0.68823641   0.299878889
## concave.points_mean              0.257583746   0.83031763   0.292751713
## symmetry_mean                    0.331786146   0.18572775   0.090650688
## fractal_dimension_mean           0.688131577  -0.25369149  -0.051269202
## radius_se                        0.227753533   0.71506520   0.194798557
## texture_se                       0.279722748  -0.11169031   0.409002766
## perimeter_se                     0.244142773   0.69720059   0.200370854
## area_se                          0.127070903   0.75737319   0.196496649
## smoothness_se                    0.427374207  -0.23069071  -0.074742965
## compactness_se                   0.803268818   0.20460717   0.143002583
## concavity_se                     0.727372184   0.18690352   0.100240984
## concave.points_se                0.611044139   0.35812667   0.086741210
## symmetry_se                      0.369078083  -0.12812077  -0.077473420
## fractal_dimension_se             1.000000000  -0.03748762  -0.003195029
## radius_worst                    -0.037487618   1.00000000   0.359920754
## texture_worst                   -0.003195029   0.35992075   1.000000000
## perimeter_worst                 -0.001000398   0.99370792   0.365098245
## area_worst                      -0.022736147   0.98401456   0.345842283
## smoothness_worst                 0.170568316   0.21657443   0.225429415
## compactness_worst                0.390158842   0.47582004   0.360832339
## concavity_worst                  0.379974661   0.57397471   0.368365607
## concave.points_worst             0.215204013   0.78742385   0.359754610
## symmetry_worst                   0.111093956   0.24352920   0.233027461
## fractal_dimension_worst          0.591328066   0.09349198   0.219122425
##                         perimeter_worst  area_worst smoothness_worst
## radius_mean                 0.965136514  0.94108246       0.11961614
## texture_mean                0.358039575  0.34354595       0.07750336
## perimeter_mean              0.970386887  0.94154981       0.15054940
## area_mean                   0.959119574  0.95921333       0.12352294
## smoothness_mean             0.238852626  0.20671836       0.80532420
## compactness_mean            0.590210428  0.50960381       0.56554117
## concavity_mean              0.729564917  0.67598723       0.44882204
## concave.points_mean         0.855923128  0.80962962       0.45275305
## symmetry_mean               0.219168559  0.17719338       0.42667503
## fractal_dimension_mean     -0.205151211 -0.23185445       0.50494208
## radius_se                   0.719683804  0.75154848       0.14191855
## texture_se                 -0.102241922 -0.08319499      -0.07365766
## perimeter_se                0.721031310  0.73071297       0.13005439
## area_se                     0.761212636  0.81140796       0.12538943
## smoothness_se              -0.217303755 -0.18219548       0.31445746
## compactness_se              0.260515840  0.19937133       0.22739423
## concavity_se                0.226680426  0.18835265       0.16848132
## concave.points_se           0.394999252  0.34227116       0.21535060
## symmetry_se                -0.103753044 -0.11034274      -0.01266180
## fractal_dimension_se       -0.001000398 -0.02273615       0.17056832
## radius_worst                0.993707916  0.98401456       0.21657443
## texture_worst               0.365098245  0.34584228       0.22542941
## perimeter_worst             1.000000000  0.97757809       0.23677460
## area_worst                  0.977578091  1.00000000       0.20914533
## smoothness_worst            0.236774604  0.20914533       1.00000000
## compactness_worst           0.529407690  0.43829628       0.56818652
## concavity_worst             0.618344080  0.54333053       0.51852329
## concave.points_worst        0.816322102  0.74741880       0.54769090
## symmetry_worst              0.269492769  0.20914551       0.49383833
## fractal_dimension_worst     0.138956862  0.07964703       0.61762419
##                         compactness_worst concavity_worst concave.points_worst
## radius_mean                    0.41346282      0.52691146            0.7442142
## texture_mean                   0.27782959      0.30102522            0.2953158
## perimeter_mean                 0.45577423      0.56387926            0.7712408
## area_mean                      0.39041031      0.51260592            0.7220166
## smoothness_mean                0.47246844      0.43492571            0.5030534
## compactness_mean               0.86580904      0.81627525            0.8155732
## concavity_mean                 0.75496802      0.88410264            0.8613230
## concave.points_mean            0.66745368      0.75239950            0.9101553
## symmetry_mean                  0.47320001      0.43372101            0.4302966
## fractal_dimension_mean         0.45879816      0.34623388            0.1753254
## radius_se                      0.28710317      0.38058463            0.5310623
## texture_se                    -0.09243935     -0.06895622           -0.1196375
## perimeter_se                   0.34191945      0.41889882            0.5548972
## area_se                        0.28325654      0.38510014            0.5381663
## smoothness_se                 -0.05555814     -0.05829839           -0.1020068
## compactness_se                 0.67878035      0.63914670            0.4832083
## concavity_se                   0.48485780      0.66256413            0.4404723
## concave.points_se              0.45288838      0.54959238            0.6024496
## symmetry_se                    0.06025488      0.03711905           -0.0304134
## fractal_dimension_se           0.39015884      0.37997466            0.2152040
## radius_worst                   0.47582004      0.57397471            0.7874239
## texture_worst                  0.36083234      0.36836561            0.3597546
## perimeter_worst                0.52940769      0.61834408            0.8163221
## area_worst                     0.43829628      0.54333053            0.7474188
## smoothness_worst               0.56818652      0.51852329            0.5476909
## compactness_worst              1.00000000      0.89226090            0.8010804
## concavity_worst                0.89226090      1.00000000            0.8554339
## concave.points_worst           0.80108036      0.85543386            1.0000000
## symmetry_worst                 0.61444050      0.53251973            0.5025285
## fractal_dimension_worst        0.81045486      0.68651092            0.5111141
##                         symmetry_worst fractal_dimension_worst
## radius_mean                 0.16395333             0.007065886
## texture_mean                0.10500791             0.119205351
## perimeter_mean              0.18911504             0.051018530
## area_mean                   0.14356991             0.003737597
## smoothness_mean             0.39430948             0.499316369
## compactness_mean            0.51022343             0.687382323
## concavity_mean              0.40946413             0.514929891
## concave.points_mean         0.37574415             0.368661134
## symmetry_mean               0.69982580             0.438413498
## fractal_dimension_mean      0.33401868             0.767296779
## radius_se                   0.09454283             0.049559432
## texture_se                 -0.12821476            -0.045654569
## perimeter_se                0.10993043             0.085432572
## area_se                     0.07412629             0.017539295
## smoothness_se              -0.10734210             0.101480315
## compactness_se              0.27787843             0.590972763
## concavity_se                0.19778782             0.439329269
## concave.points_se           0.14311567             0.310654551
## symmetry_se                 0.38940248             0.078079476
## fractal_dimension_se        0.11109396             0.591328066
## radius_worst                0.24352920             0.093491979
## texture_worst               0.23302746             0.219122425
## perimeter_worst             0.26949277             0.138956862
## area_worst                  0.20914551             0.079647034
## smoothness_worst            0.49383833             0.617624192
## compactness_worst           0.61444050             0.810454856
## concavity_worst             0.53251973             0.686510921
## concave.points_worst        0.50252849             0.511114146
## symmetry_worst              1.00000000             0.537848206
## fractal_dimension_worst     0.53784821             1.000000000
DPA_CorrelationTest <- cor.mtest(DPA.Predictors.Numeric,
                       method = "pearson",
                       conf.level = 0.95)

corrplot(cor(DPA.Predictors.Numeric,
             method = "pearson",
             use="pairwise.complete.obs"),
             method = "circle",
             type = "upper",
             order = "original",
             tl.col = "black",
             tl.cex = 0.75,
             tl.srt = 90,
             sig.level = 0.05,
             p.mat = DPA_CorrelationTest$p,
             insig = "blank")

corrplot(cor(DPA.Predictors.Numeric,
             method = "pearson",
             use="pairwise.complete.obs"),
             method = "number",
             type = "upper",
             order = "original",
             tl.col = "black",
             tl.cex = 0.75,
             tl.srt = 90,
             sig.level = 0.05,
             number.cex = 0.65,
             p.mat = DPA_CorrelationTest$p,
             insig = "blank")

##################################
# Identifying the highly correlated variables
##################################
(DPA_HighlyCorrelatedCount <- sum(abs(DPA_Correlation[upper.tri(DPA_Correlation)])>0.95))
## [1] 15
if (DPA_HighlyCorrelatedCount == 0) {
  print("No highly correlated predictors noted.")
} else {
  print(paste0("High correlation observed for ",
               (DPA_HighlyCorrelatedCount),
               " pairs of numeric variable(s) with Correlation.Coefficient>0.95."))
  
  (DPA_HighlyCorrelatedPairs <- corr_cross(DPA.Predictors.Numeric,
  max_pvalue = 0.05, 
  top = DPA_HighlyCorrelatedCount,
  rm.na = TRUE,
  grid = FALSE
))
  
}
## [1] "High correlation observed for 15 pairs of numeric variable(s) with Correlation.Coefficient>0.95."

if (DPA_HighlyCorrelatedCount > 0) {
  DPA_HighlyCorrelated <- findCorrelation(DPA_Correlation, cutoff = 0.95)

  (DPA_HighlyCorrelatedForRemoval <- length(DPA_HighlyCorrelated))

  print(paste0("High correlation can be resolved by removing ",
               (DPA_HighlyCorrelatedForRemoval),
               " numeric variable(s)."))

  for (j in 1:DPA_HighlyCorrelatedForRemoval) {
  DPA_HighlyCorrelatedRemovedVariable <- colnames(DPA.Predictors.Numeric)[DPA_HighlyCorrelated[j]]
  print(paste0("Variable ",
               j,
               " for removal: ",
               DPA_HighlyCorrelatedRemovedVariable))
  }

}
## [1] "High correlation can be resolved by removing 7 numeric variable(s)."
## [1] "Variable 1 for removal: perimeter_worst"
## [1] "Variable 2 for removal: radius_worst"
## [1] "Variable 3 for removal: perimeter_mean"
## [1] "Variable 4 for removal: area_worst"
## [1] "Variable 5 for removal: radius_mean"
## [1] "Variable 6 for removal: perimeter_se"
## [1] "Variable 7 for removal: area_se"

1.3.4 Linear Dependency


[A] No linear dependencies noted for any subset of numeric variables using the preprocessing summary from the caret package applying the findLinearCombos method which utilizes the QR decomposition of a matrix to enumerate sets of linear combinations (if they exist).

Code Chunk | Output
##################################
# Linear Dependencies
##################################

##################################
# Finding linear dependencies
##################################
DPA_LinearlyDependent <- findLinearCombos(DPA.Predictors.Numeric)

##################################
# Identifying the linearly dependent variables
##################################
DPA_LinearlyDependent <- findLinearCombos(DPA.Predictors.Numeric)

(DPA_LinearlyDependentCount <- length(DPA_LinearlyDependent$linearCombos))
## [1] 0
if (DPA_LinearlyDependentCount == 0) {
  print("No linearly dependent predictors noted.")
} else {
  print(paste0("Linear dependency observed for ",
               (DPA_LinearlyDependentCount),
               " subset(s) of numeric variable(s)."))
  
  for (i in 1:DPA_LinearlyDependentCount) {
    DPA_LinearlyDependentSubset <- colnames(DPA.Predictors.Numeric)[DPA_LinearlyDependent$linearCombos[[i]]]
    print(paste0("Linear dependent variable(s) for subset ",
                 i,
                 " include: ",
                 DPA_LinearlyDependentSubset))
  }
  
}
## [1] "No linearly dependent predictors noted."
##################################
# Identifying the linearly dependent variables for removal
##################################

if (DPA_LinearlyDependentCount > 0) {
  DPA_LinearlyDependent <- findLinearCombos(DPA.Predictors.Numeric)
  
  DPA_LinearlyDependentForRemoval <- length(DPA_LinearlyDependent$remove)
  
  print(paste0("Linear dependency can be resolved by removing ",
               (DPA_LinearlyDependentForRemoval),
               " numeric variable(s)."))
  
  for (j in 1:DPA_LinearlyDependentForRemoval) {
  DPA_LinearlyDependentRemovedVariable <- colnames(DPA.Predictors.Numeric)[DPA_LinearlyDependent$remove[j]]
  print(paste0("Variable ",
               j,
               " for removal: ",
               DPA_LinearlyDependentRemovedVariable))
  }

}

1.3.5 Distributional Shape


[A] Shape transformation was applied to improve against skewness and minimize outliers for data distribution stability using the BoxCox method from the caret package which transforms the distributional shape for predictors with strictly positive values.

[B] Skewness measurements were improved for most except for 1 predictor with Skewness>3.
     [B.1] concavity_se = +5.10

[C] Outliers were minimized for most except for 5 predictors which did not show any improvement even after shape transformation as noted using the IQR criterion.
     [C.1] concavity_mean = 36
     [C.2] concave.points_mean = 20
     [C.3] concavity_se = 44
     [C.4] concave.points_se = 38
     [C.5] concavity_worst = 24

Code Chunk | Output
##################################
# Shape Transformation
##################################

##################################
# Applying a Box-Cox transformation
##################################
DPA_BoxCox <- preProcess(DPA.Predictors.Numeric, method = c("BoxCox"))
DPA_BoxCoxTransformed <- predict(DPA_BoxCox, DPA.Predictors.Numeric)

for (i in 1:ncol(DPA_BoxCoxTransformed)) {
  Median <- format(round(median(DPA_BoxCoxTransformed[,i],na.rm = TRUE),2), nsmall=2)
  Mean <- format(round(mean(DPA_BoxCoxTransformed[,i],na.rm = TRUE),2), nsmall=2)
  Skewness <- format(round(skewness(DPA_BoxCoxTransformed[,i],na.rm = TRUE),2), nsmall=2)
  print(
  ggplot(DPA_BoxCoxTransformed, aes(x=DPA_BoxCoxTransformed[,i])) +
  geom_histogram(binwidth=1,color="black", fill="white") +
  geom_vline(aes(xintercept=mean(DPA_BoxCoxTransformed[,i])),
            color="blue", size=1) +
    geom_vline(aes(xintercept=median(DPA_BoxCoxTransformed[,i])),
            color="red", size=1) +
  theme_bw() +
  ylab("Count") +
  xlab(names(DPA_BoxCoxTransformed)[i]) +
  labs(title=names(DPA_BoxCoxTransformed)[i],
       subtitle=paste0("Median = ", Median,
                       ", Mean = ", Mean,
                       ", Skewness = ", Skewness)))
}

##################################
# Identifying outliers for the numeric predictors
##################################
OutlierCountList <- c()

for (i in 1:ncol(DPA_BoxCoxTransformed)) {
  Outliers <- boxplot.stats(DPA_BoxCoxTransformed[,i])$out
  OutlierCount <- length(Outliers)
  OutlierCountList <- append(OutlierCountList,OutlierCount)
  OutlierIndices <- which(DPA_BoxCoxTransformed[,i] %in% c(Outliers))
  print(
  ggplot(DPA_BoxCoxTransformed, aes(x=DPA_BoxCoxTransformed[,i])) +
  geom_boxplot() +
  theme_bw() +
  theme(axis.text.y=element_blank(), 
        axis.ticks.y=element_blank()) +
  xlab(names(DPA_BoxCoxTransformed)[i]) +
  labs(title=names(DPA_BoxCoxTransformed)[i],
       subtitle=paste0(OutlierCount, " Outlier(s) Detected")))
}

DPA_BoxCoxTransformed$diagnosis <- DPA[,c("diagnosis")]

1.3.6 Pre-Processed Dataset


[A] A total of 12 predictors were removed prior to data exploration and modelling due to issues identified during data preprocessing.
     [A.1] concavity_se = Low variance and high skewness
     [A.2] perimeter_worst = High correlation with radius_worst, area_worst, perimeter_mean, radius_mean and area_mean
     [A.3] radius_worst = High correlation with perimeter_worst, area_worst, radius_mean, perimeter_mean and area_mean
     [A.4] perimeter_mean = High correlation with radius_mean, area_mean, perimeter_worst and radius_worst
     [A.5] area_worst = High correlation with radius_worst, perimeter_worst and area_mean
     [A.6] radius_mean = High correlation with perimeter_mean, area_mean, radius_worst and perimeter_worst .
     [A.7] perimeter_se = High correlation with radius_se
     [A.8] area_se = High correlation with radius_se
     [A.9] concavity_mean = High outlier count even after shape transformation
     [A.10] concave.points_mean = High outlier count even after shape transformation
     [A.11] concave.points_se = High outlier count even after shape transformation
     [A.12] concavity_worst = High outlier count even after shape transformation

[B] The preprocessed tabular dataset was comprised of 1138 observations and 19 variables (including 1 response and 18 predictors).
     [B.1] 1138 rows (observations)
     [B.2] 19 columns (variables)
            [B.2.1] 1/19 response = diagnosis (factor)
            [B.2.2] 18/19 predictors = 18/18 numeric
                     [B.2.2.1] texture_mean (numeric)
                     [B.2.2.2] area_mean (numeric)
                     [B.2.2.3] smoothness_mean (numeric)
                     [B.2.2.4] compactness_mean (numeric)
                     [B.2.2.5] symmetry_mean (numeric)
                     [B.2.2.6] fractal_dimension_mean (numeric)
                     [B.2.2.7] radius_se (numeric)
                     [B.2.2.8] texture_se (numeric)
                     [B.2.2.9] smoothness_se (numeric)
                     [B.2.2.10] compactness_se (numeric)
                     [B.2.2.11] symmetry_se (numeric)
                     [B.2.2.12] fractal_dimension_se (numeric)
                     [B.2.2.13] texture_worst (numeric)
                     [B.2.2.14] smoothness_worst (numeric)
                     [B.2.2.15] compactness_worst (numeric)
                     [B.2.2.16] concave.points_worst (numeric)
                     [B.2.2.17] symmetry_worst (numeric)
                     [B.2.2.18] fractal_dimension_worst (numeric)

Code Chunk | Output
##################################
# Creating the pre-modelling
# train set
##################################
PMA <- DPA_BoxCoxTransformed[,!names(DPA_BoxCoxTransformed) %in% c("concavity_se",
                                                                   "perimeter_worst",
                                                                   "radius_worst",
                                                                   "perimeter_mean",
                                                                   "area_worst",
                                                                   "radius_mean",
                                                                   "perimeter_se",
                                                                   "area_se",
                                                                   "concavity_mean",
                                                                   "concave.points_mean",
                                                                   "concave.points_se",
                                                                   "concavity_worst")]

##################################
# Gathering descriptive statistics
##################################
(PMA_Skimmed <- skim(PMA))
Data summary
Name PMA
Number of rows 1138
Number of columns 19
_______________________
Column type frequency:
factor 1
numeric 18
________________________
Group variables None

Variable type: factor

skim_variable n_missing complete_rate ordered n_unique top_counts
diagnosis 0 1 FALSE 2 B: 714, M: 424

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
texture_mean 0 1 2.94 0.22 2.27 2.78 2.94 3.08 3.67 ▁▅▇▃▁
area_mean 0 1 6.36 0.48 4.97 6.04 6.31 6.66 7.82 ▁▅▇▃▁
smoothness_mean 0 1 -2.35 0.15 -2.94 -2.45 -2.34 -2.25 -1.81 ▁▂▇▃▁
compactness_mean 0 1 -2.38 0.49 -3.94 -2.73 -2.38 -2.04 -1.06 ▁▅▇▇▂
symmetry_mean 0 1 -2.26 0.25 -3.20 -2.42 -2.25 -2.10 -1.43 ▁▂▇▅▁
fractal_dimension_mean 0 1 -130.58 26.03 -199.82 -149.68 -131.52 -113.87 -52.16 ▁▆▇▃▁
radius_se 0 1 -1.42 0.81 -3.51 -1.98 -1.42 -0.86 0.86 ▁▆▇▅▁
texture_se 0 1 0.10 0.43 -1.02 -0.18 0.10 0.39 1.59 ▂▆▇▂▁
smoothness_se 0 1 -11.83 1.66 -19.20 -12.84 -11.85 -10.78 -6.11 ▁▂▇▅▁
compactness_se 0 1 -3.88 0.65 -6.10 -4.34 -3.89 -3.43 -2.00 ▁▃▇▆▁
symmetry_se 0 1 -16.51 3.52 -28.80 -18.91 -16.46 -14.16 -5.98 ▁▃▇▅▁
fractal_dimension_se 0 1 -15.48 2.88 -24.04 -17.43 -15.37 -13.46 -6.23 ▁▅▇▃▁
texture_worst 0 1 4.53 0.46 3.22 4.20 4.55 4.85 5.91 ▁▅▇▅▁
smoothness_worst 0 1 -1.52 0.09 -1.82 -1.58 -1.52 -1.46 -1.21 ▁▃▇▃▁
compactness_worst 0 1 -1.55 0.62 -3.60 -1.92 -1.55 -1.08 0.06 ▁▃▇▆▁
concave.points_worst 0 1 0.11 0.07 0.00 0.06 0.10 0.16 0.29 ▅▇▅▃▁
symmetry_worst 0 1 -1.77 0.37 -3.06 -2.00 -1.76 -1.55 -0.45 ▁▃▇▂▁
fractal_dimension_worst 0 1 -19.62 4.79 -32.59 -22.99 -19.73 -16.32 -5.17 ▁▅▇▃▁

1.4 Data Exploration


[A] Individual predictors which demonstrated excellent discrimination between diagnosis=M and diagnosis=B in terms of the area under the receiver operating characteristics curve (AUROC>0.80) are as follows:
     [A.1] concave.points_worst = 0.97
     [A.2] area_mean = 0.94
     [A.3] radius_se = 0.87
     [A.4] compactness_mean = 0.86
     [A.5] compactness_worst = 0.86

[B] To allow a better comparison of the ensemble methods, only predictors which demonstrated fair discrimination between diagnosis=M and diagnosis=B in terms of the area under the receiver operating characteristics curve (0.70<AUROC<0.80) were selected to proceed with the modelling process, enumerated as follows:
     [B.1] texture_worst = 0.78
     [B.2] texture_mean = 0.77
     [B.3] smoothness_worst = 0.75
     [B.4] symmetry_worst = 0.74
     [B.5] compactness_se = 0.73
     [B.6] smoothness_mean = 0.72

Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- PMA

##################################
# Listing all predictors
##################################
DPA.Predictors <- DPA[,!names(DPA) %in% c("diagnosis")]

##################################
# Listing all numeric predictors
##################################
DPA.Predictors.Numeric <- DPA.Predictors[,sapply(DPA.Predictors, is.numeric)]
ncol(DPA.Predictors.Numeric)
## [1] 18
##################################
# Converting response variable data type to factor
##################################
DPA$diagnosis <- as.factor(DPA$diagnosis)
length(levels(DPA$diagnosis))
## [1] 2
##################################
# Formulating the box plots
##################################
featurePlot(x = DPA.Predictors.Numeric, 
            y = DPA$diagnosis,
            plot = "box",
            scales = list(x = list(relation="free", rot = 90), 
                          y = list(relation="free")),
            adjust = 1.5, 
            pch = "|", 
            layout = c(6, 3))

##################################
# Obtaining the AUROC
##################################
AUROC <- filterVarImp(x = DPA.Predictors.Numeric,
                        y = DPA$diagnosis)

##################################
# Formulating the summary table
##################################
AUROC_Summary <- AUROC 

AUROC_Summary$Predictor <- rownames(AUROC)
names(AUROC_Summary)[1] <- "AUROC"
AUROC_Summary$Metric <- rep("AUROC",nrow(AUROC))

AUROC_Summary[order(AUROC_Summary$AUROC, decreasing=TRUE),] 
##                             AUROC         M               Predictor Metric
## concave.points_worst    0.9667037 0.9667037    concave.points_worst  AUROC
## area_mean               0.9383159 0.9383159               area_mean  AUROC
## radius_se               0.8683341 0.8683341               radius_se  AUROC
## compactness_mean        0.8637823 0.8637823        compactness_mean  AUROC
## compactness_worst       0.8623025 0.8623025       compactness_worst  AUROC
## texture_worst           0.7846308 0.7846308           texture_worst  AUROC
## texture_mean            0.7758245 0.7758245            texture_mean  AUROC
## smoothness_worst        0.7540563 0.7540563        smoothness_worst  AUROC
## symmetry_worst          0.7369391 0.7369391          symmetry_worst  AUROC
## compactness_se          0.7272805 0.7272805          compactness_se  AUROC
## smoothness_mean         0.7220416 0.7220416         smoothness_mean  AUROC
## symmetry_mean           0.6985624 0.6985624           symmetry_mean  AUROC
## fractal_dimension_worst 0.6859706 0.6859706 fractal_dimension_worst  AUROC
## fractal_dimension_se    0.6203028 0.6203028    fractal_dimension_se  AUROC
## symmetry_se             0.5551107 0.5551107             symmetry_se  AUROC
## smoothness_se           0.5311625 0.5311625           smoothness_se  AUROC
## fractal_dimension_mean  0.5154656 0.5154656  fractal_dimension_mean  AUROC
## texture_se              0.5115943 0.5115943              texture_se  AUROC
##################################
# Exploring predictor performance
##################################
dotplot(Predictor ~ AUROC | Metric, 
        AUROC_Summary,
        origin = 0,
        type = c("p", "h"),
        pch = 16,
        cex = 2,
        alpha = 0.45,
        prepanel = function(x, y) {
            list(ylim = levels(reorder(y, x)))
        },
        panel = function(x, y, ...) {
            panel.dotplot(x, reorder(y, x), ...)
        })

##################################
# Creating the pre-modelling dataset
# into the train and test sets
##################################
DPA <- DPA[,colnames(DPA) %in% c("diagnosis",
                                 "texture_worst",
                                 "texture_mean",
                                 "smoothness_worst",
                                 "symmetry_worst",
                                 "compactness_se",
                                 "smoothness_mean")]
set.seed(12345678)
MA_Train_Index  <- createDataPartition(DPA$diagnosis,p=0.8)[[1]]
MA_Train        <- DPA[ MA_Train_Index, ]
MA_Test         <- DPA[-MA_Train_Index, ]

1.5 Model Boosting

1.5.1 Adaptive Boosting (MBS_AB)


Details.

Code Chunk | Output
##################################
# Setting the cross validation process
# using the Repeated K-Fold
##################################
set.seed(12345678)
RKFold_Control <- trainControl(method="repeatedcv",
                              summaryFunction = twoClassSummary,
                              number=5, 
                              repeats=5,
                              classProbs = TRUE)

##################################
# Setting the conditions
# for hyperparameter tuning
##################################
AB_Grid = data.frame(mfinal = c(25,75,125), maxdepth = 6, coeflearn = "Breiman")

##################################
# Running the adaptive boosting model
# by setting the caret method to 'AdaBoost.M1'
##################################
set.seed(12345678)
MBS_AB_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                 y = MA_Train$diagnosis,
                 method = "AdaBoost.M1",
                 tuneGrid = AB_Grid,
                 metric = "ROC",
                 trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
MBS_AB_Tune
## AdaBoost.M1 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results across tuning parameters:
## 
##   mfinal  ROC        Sens       Spec     
##    25     0.9608629  0.9499741  0.8964706
##    75     0.9701952  0.9538368  0.8964706
##   125     0.9730232  0.9559237  0.8923529
## 
## Tuning parameter 'maxdepth' was held constant at a value of 6
## Tuning
##  parameter 'coeflearn' was held constant at a value of Breiman
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were mfinal = 125, maxdepth = 6
##  and coeflearn = Breiman.
MBS_AB_Tune$finalModel
## $formula
## .outcome ~ .
## <environment: 0x000000002fb413e8>
## 
## $trees
## $trees[[1]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 296 B (0.67543860 0.32456140)  
##     2) texture_worst< 4.572846 504  71 B (0.85912698 0.14087302)  
##       4) symmetry_worst< -1.330332 472  48 B (0.89830508 0.10169492)  
##         8) symmetry_worst>=-2.923662 468  44 B (0.90598291 0.09401709)  
##          16) smoothness_worst< -1.482701 352  18 B (0.94886364 0.05113636)  
##            32) texture_worst< 4.36289 256   4 B (0.98437500 0.01562500)  
##              64) compactness_se< -4.166611 167   0 B (1.00000000 0.00000000) *
##              65) compactness_se>=-4.166611 89   4 B (0.95505618 0.04494382) *
##            33) texture_worst>=4.36289 96  14 B (0.85416667 0.14583333)  
##              66) texture_worst>=4.365735 93  11 B (0.88172043 0.11827957) *
##              67) texture_worst< 4.365735 3   0 M (0.00000000 1.00000000) *
##          17) smoothness_worst>=-1.482701 116  26 B (0.77586207 0.22413793)  
##            34) texture_mean< 2.934384 109  19 B (0.82568807 0.17431193)  
##              68) smoothness_worst>=-1.480138 104  14 B (0.86538462 0.13461538) *
##              69) smoothness_worst< -1.480138 5   0 M (0.00000000 1.00000000) *
##            35) texture_mean>=2.934384 7   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst< -2.923662 4   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.330332 32   9 M (0.28125000 0.71875000)  
##        10) smoothness_mean< -2.235399 9   1 B (0.88888889 0.11111111)  
##          20) texture_worst>=4.074625 8   0 B (1.00000000 0.00000000) *
##          21) texture_worst< 4.074625 1   0 M (0.00000000 1.00000000) *
##        11) smoothness_mean>=-2.235399 23   1 M (0.04347826 0.95652174)  
##          22) smoothness_mean>=-2.022167 1   0 B (1.00000000 0.00000000) *
##          23) smoothness_mean< -2.022167 22   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.572846 408 183 M (0.44852941 0.55147059)  
##       6) smoothness_mean< -2.408446 140  21 B (0.85000000 0.15000000)  
##        12) texture_worst>=4.590992 131  14 B (0.89312977 0.10687023)  
##          24) symmetry_worst< -1.362675 128  11 B (0.91406250 0.08593750)  
##            48) symmetry_worst< -1.537481 112   6 B (0.94642857 0.05357143)  
##              96) texture_worst< 5.636459 111   5 B (0.95495495 0.04504505) *
##              97) texture_worst>=5.636459 1   0 M (0.00000000 1.00000000) *
##            49) symmetry_worst>=-1.537481 16   5 B (0.68750000 0.31250000)  
##              98) symmetry_worst>=-1.514459 11   0 B (1.00000000 0.00000000) *
##              99) symmetry_worst< -1.514459 5   0 M (0.00000000 1.00000000) *
##          25) symmetry_worst>=-1.362675 3   0 M (0.00000000 1.00000000) *
##        13) texture_worst< 4.590992 9   2 M (0.22222222 0.77777778)  
##          26) texture_mean>=2.9724 2   0 B (1.00000000 0.00000000) *
##          27) texture_mean< 2.9724 7   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean>=-2.408446 268  64 M (0.23880597 0.76119403)  
##        14) symmetry_worst< -1.652093 136  54 M (0.39705882 0.60294118)  
##          28) compactness_se< -3.337511 108  54 B (0.50000000 0.50000000)  
##            56) symmetry_worst< -2.016907 32   7 B (0.78125000 0.21875000)  
##             112) smoothness_mean< -2.394379 10   0 B (1.00000000 0.00000000) *
##             113) smoothness_mean>=-2.394379 22   7 B (0.68181818 0.31818182) *
##            57) symmetry_worst>=-2.016907 76  29 M (0.38157895 0.61842105)  
##             114) symmetry_worst>=-1.733268 21   6 B (0.71428571 0.28571429) *
##             115) symmetry_worst< -1.733268 55  14 M (0.25454545 0.74545455) *
##          29) compactness_se>=-3.337511 28   0 M (0.00000000 1.00000000) *
##        15) symmetry_worst>=-1.652093 132  10 M (0.07575758 0.92424242)  
##          30) smoothness_worst< -1.618016 2   0 B (1.00000000 0.00000000) *
##          31) smoothness_worst>=-1.618016 130   8 M (0.06153846 0.93846154)  
##            62) compactness_se< -4.512898 1   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.512898 129   7 M (0.05426357 0.94573643)  
##             126) texture_worst< 4.858879 50   7 M (0.14000000 0.86000000) *
##             127) texture_worst>=4.858879 79   0 M (0.00000000 1.00000000) *
## 
## $trees[[2]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 398 B (0.563596491 0.436403509)  
##     2) texture_worst< 4.262771 212  15 B (0.929245283 0.070754717)  
##       4) symmetry_worst< -1.428979 193   5 B (0.974093264 0.025906736)  
##         8) smoothness_mean< -2.074653 191   4 B (0.979057592 0.020942408)  
##          16) compactness_se< -3.496773 169   1 B (0.994082840 0.005917160)  
##            32) compactness_se< -3.892047 147   0 B (1.000000000 0.000000000) *
##            33) compactness_se>=-3.892047 22   1 B (0.954545455 0.045454545)  
##              66) compactness_se>=-3.866661 21   0 B (1.000000000 0.000000000) *
##              67) compactness_se< -3.866661 1   0 M (0.000000000 1.000000000) *
##          17) compactness_se>=-3.496773 22   3 B (0.863636364 0.136363636)  
##            34) compactness_se>=-3.464112 19   0 B (1.000000000 0.000000000) *
##            35) compactness_se< -3.464112 3   0 M (0.000000000 1.000000000) *
##         9) smoothness_mean>=-2.074653 2   1 B (0.500000000 0.500000000)  
##          18) texture_mean< 2.434062 1   0 B (1.000000000 0.000000000) *
##          19) texture_mean>=2.434062 1   0 M (0.000000000 1.000000000) *
##       5) symmetry_worst>=-1.428979 19   9 M (0.473684211 0.526315789)  
##        10) texture_mean< 2.756192 11   2 B (0.818181818 0.181818182)  
##          20) compactness_se< -3.344063 9   0 B (1.000000000 0.000000000) *
##          21) compactness_se>=-3.344063 2   0 M (0.000000000 1.000000000) *
##        11) texture_mean>=2.756192 8   0 M (0.000000000 1.000000000) *
##     3) texture_worst>=4.262771 700 317 M (0.452857143 0.547142857)  
##       6) smoothness_mean< -2.216408 559 260 B (0.534883721 0.465116279)  
##        12) texture_worst< 4.858219 383 136 B (0.644908616 0.355091384)  
##          24) texture_mean< 3.071998 327  98 B (0.700305810 0.299694190)  
##            48) smoothness_mean< -2.434347 100   7 B (0.930000000 0.070000000)  
##              96) symmetry_worst< -1.179946 97   4 B (0.958762887 0.041237113) *
##              97) symmetry_worst>=-1.179946 3   0 M (0.000000000 1.000000000) *
##            49) smoothness_mean>=-2.434347 227  91 B (0.599118943 0.400881057)  
##              98) smoothness_mean>=-2.422721 214  79 B (0.630841121 0.369158879) *
##              99) smoothness_mean< -2.422721 13   1 M (0.076923077 0.923076923) *
##          25) texture_mean>=3.071998 56  18 M (0.321428571 0.678571429)  
##            50) texture_worst>=4.753106 20   7 B (0.650000000 0.350000000)  
##             100) compactness_se< -3.069335 14   1 B (0.928571429 0.071428571) *
##             101) compactness_se>=-3.069335 6   0 M (0.000000000 1.000000000) *
##            51) texture_worst< 4.753106 36   5 M (0.138888889 0.861111111)  
##             102) compactness_se< -3.594837 16   5 M (0.312500000 0.687500000) *
##             103) compactness_se>=-3.594837 20   0 M (0.000000000 1.000000000) *
##        13) texture_worst>=4.858219 176  52 M (0.295454545 0.704545455)  
##          26) smoothness_worst< -1.623453 22   5 B (0.772727273 0.227272727)  
##            52) smoothness_mean< -2.382409 17   0 B (1.000000000 0.000000000) *
##            53) smoothness_mean>=-2.382409 5   0 M (0.000000000 1.000000000) *
##          27) smoothness_worst>=-1.623453 154  35 M (0.227272727 0.772727273)  
##            54) symmetry_worst< -2.041024 31  15 M (0.483870968 0.516129032)  
##             108) compactness_se< -3.413706 21   6 B (0.714285714 0.285714286) *
##             109) compactness_se>=-3.413706 10   0 M (0.000000000 1.000000000) *
##            55) symmetry_worst>=-2.041024 123  20 M (0.162601626 0.837398374)  
##             110) symmetry_worst>=-1.793921 80  18 M (0.225000000 0.775000000) *
##             111) symmetry_worst< -1.793921 43   2 M (0.046511628 0.953488372) *
##       7) smoothness_mean>=-2.216408 141  18 M (0.127659574 0.872340426)  
##        14) symmetry_worst< -1.766269 30  13 B (0.566666667 0.433333333)  
##          28) smoothness_worst>=-1.464746 15   0 B (1.000000000 0.000000000) *
##          29) smoothness_worst< -1.464746 15   2 M (0.133333333 0.866666667)  
##            58) texture_mean< 3.018626 2   0 B (1.000000000 0.000000000) *
##            59) texture_mean>=3.018626 13   0 M (0.000000000 1.000000000) *
##        15) symmetry_worst>=-1.766269 111   1 M (0.009009009 0.990990991)  
##          30) compactness_se< -4.341409 1   0 B (1.000000000 0.000000000) *
##          31) compactness_se>=-4.341409 110   0 M (0.000000000 1.000000000) *
## 
## $trees[[3]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 424 B (0.53508772 0.46491228)  
##     2) texture_worst< 4.26362 183  17 B (0.90710383 0.09289617)  
##       4) symmetry_worst< -1.428979 172  10 B (0.94186047 0.05813953)  
##         8) texture_mean< 2.909334 170   8 B (0.95294118 0.04705882)  
##          16) compactness_se< -3.764682 120   0 B (1.00000000 0.00000000) *
##          17) compactness_se>=-3.764682 50   8 B (0.84000000 0.16000000)  
##            34) compactness_se>=-3.48221 31   0 B (1.00000000 0.00000000) *
##            35) compactness_se< -3.48221 19   8 B (0.57894737 0.42105263)  
##              70) compactness_se< -3.488718 14   3 B (0.78571429 0.21428571) *
##              71) compactness_se>=-3.488718 5   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=2.909334 2   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.428979 11   4 M (0.36363636 0.63636364)  
##        10) texture_mean< 2.774748 4   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.774748 7   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.26362 729 322 M (0.44170096 0.55829904)  
##       6) smoothness_worst< -1.60101 119  17 B (0.85714286 0.14285714)  
##        12) symmetry_worst< -1.528105 112  12 B (0.89285714 0.10714286)  
##          24) symmetry_worst< -1.868413 75   3 B (0.96000000 0.04000000)  
##            48) smoothness_mean< -2.373736 74   2 B (0.97297297 0.02702703)  
##              96) compactness_se< -3.004445 68   0 B (1.00000000 0.00000000) *
##              97) compactness_se>=-3.004445 6   2 B (0.66666667 0.33333333) *
##            49) smoothness_mean>=-2.373736 1   0 M (0.00000000 1.00000000) *
##          25) symmetry_worst>=-1.868413 37   9 B (0.75675676 0.24324324)  
##            50) symmetry_worst>=-1.857231 32   4 B (0.87500000 0.12500000)  
##             100) smoothness_mean< -2.523668 19   0 B (1.00000000 0.00000000) *
##             101) smoothness_mean>=-2.523668 13   4 B (0.69230769 0.30769231) *
##            51) symmetry_worst< -1.857231 5   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-1.528105 7   2 M (0.28571429 0.71428571)  
##          26) smoothness_mean< -2.43698 2   0 B (1.00000000 0.00000000) *
##          27) smoothness_mean>=-2.43698 5   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.60101 610 220 M (0.36065574 0.63934426)  
##        14) compactness_se< -3.721197 328 156 M (0.47560976 0.52439024)  
##          28) compactness_se< -4.691273 20   0 B (1.00000000 0.00000000) *
##          29) compactness_se>=-4.691273 308 136 M (0.44155844 0.55844156)  
##            58) smoothness_mean>=-2.301237 99  34 B (0.65656566 0.34343434)  
##             116) symmetry_worst< -1.478154 80  16 B (0.80000000 0.20000000) *
##             117) symmetry_worst>=-1.478154 19   1 M (0.05263158 0.94736842) *
##            59) smoothness_mean< -2.301237 209  71 M (0.33971292 0.66028708)  
##             118) compactness_se>=-3.869459 23   4 B (0.82608696 0.17391304) *
##             119) compactness_se< -3.869459 186  52 M (0.27956989 0.72043011) *
##        15) compactness_se>=-3.721197 282  64 M (0.22695035 0.77304965)  
##          30) symmetry_worst< -1.775603 76  30 M (0.39473684 0.60526316)  
##            60) smoothness_worst>=-1.468425 23   6 B (0.73913043 0.26086957)  
##             120) texture_worst< 5.04348 19   2 B (0.89473684 0.10526316) *
##             121) texture_worst>=5.04348 4   0 M (0.00000000 1.00000000) *
##            61) smoothness_worst< -1.468425 53  13 M (0.24528302 0.75471698)  
##             122) texture_worst>=5.156806 10   3 B (0.70000000 0.30000000) *
##             123) texture_worst< 5.156806 43   6 M (0.13953488 0.86046512) *
##          31) symmetry_worst>=-1.775603 206  34 M (0.16504854 0.83495146)  
##            62) texture_worst< 4.400395 30  13 M (0.43333333 0.56666667)  
##             124) texture_worst>=4.365735 9   0 B (1.00000000 0.00000000) *
##             125) texture_worst< 4.365735 21   4 M (0.19047619 0.80952381) *
##            63) texture_worst>=4.400395 176  21 M (0.11931818 0.88068182)  
##             126) smoothness_mean< -2.294142 76  19 M (0.25000000 0.75000000) *
##             127) smoothness_mean>=-2.294142 100   2 M (0.02000000 0.98000000) *
## 
## $trees[[4]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 430 B (0.528508772 0.471491228)  
##     2) smoothness_mean< -2.335108 454 140 B (0.691629956 0.308370044)  
##       4) texture_mean< 2.933058 201  33 B (0.835820896 0.164179104)  
##         8) smoothness_worst< -1.472307 177  18 B (0.898305085 0.101694915)  
##          16) texture_mean< 2.768204 58   0 B (1.000000000 0.000000000) *
##          17) texture_mean>=2.768204 119  18 B (0.848739496 0.151260504)  
##            34) texture_mean>=2.770085 112  11 B (0.901785714 0.098214286)  
##              68) symmetry_worst>=-1.748321 62   1 B (0.983870968 0.016129032) *
##              69) symmetry_worst< -1.748321 50  10 B (0.800000000 0.200000000) *
##            35) texture_mean< 2.770085 7   0 M (0.000000000 1.000000000) *
##         9) smoothness_worst>=-1.472307 24   9 M (0.375000000 0.625000000)  
##          18) smoothness_mean< -2.363458 8   0 B (1.000000000 0.000000000) *
##          19) smoothness_mean>=-2.363458 16   1 M (0.062500000 0.937500000)  
##            38) texture_mean< 2.507321 1   0 B (1.000000000 0.000000000) *
##            39) texture_mean>=2.507321 15   0 M (0.000000000 1.000000000) *
##       5) texture_mean>=2.933058 253 107 B (0.577075099 0.422924901)  
##        10) smoothness_mean>=-2.352051 23   1 B (0.956521739 0.043478261)  
##          20) symmetry_worst< -1.41845 20   0 B (1.000000000 0.000000000) *
##          21) symmetry_worst>=-1.41845 3   1 B (0.666666667 0.333333333)  
##            42) texture_mean< 2.986903 2   0 B (1.000000000 0.000000000) *
##            43) texture_mean>=2.986903 1   0 M (0.000000000 1.000000000) *
##        11) smoothness_mean< -2.352051 230 106 B (0.539130435 0.460869565)  
##          22) smoothness_mean< -2.425205 139  48 B (0.654676259 0.345323741)  
##            44) smoothness_mean>=-2.461054 35   3 B (0.914285714 0.085714286)  
##              88) compactness_se>=-4.180701 27   0 B (1.000000000 0.000000000) *
##              89) compactness_se< -4.180701 8   3 B (0.625000000 0.375000000) *
##            45) smoothness_mean< -2.461054 104  45 B (0.567307692 0.432692308)  
##              90) smoothness_mean< -2.507092 46   9 B (0.804347826 0.195652174) *
##              91) smoothness_mean>=-2.507092 58  22 M (0.379310345 0.620689655) *
##          23) smoothness_mean>=-2.425205 91  33 M (0.362637363 0.637362637)  
##            46) smoothness_worst< -1.586424 11   0 B (1.000000000 0.000000000) *
##            47) smoothness_worst>=-1.586424 80  22 M (0.275000000 0.725000000)  
##              94) symmetry_worst>=-1.512071 11   0 B (1.000000000 0.000000000) *
##              95) symmetry_worst< -1.512071 69  11 M (0.159420290 0.840579710) *
##     3) smoothness_mean>=-2.335108 458 168 M (0.366812227 0.633187773)  
##       6) texture_worst< 4.389172 109  30 B (0.724770642 0.275229358)  
##        12) compactness_se< -3.892047 38   0 B (1.000000000 0.000000000) *
##        13) compactness_se>=-3.892047 71  30 B (0.577464789 0.422535211)  
##          26) symmetry_worst< -1.61522 40   9 B (0.775000000 0.225000000)  
##            52) smoothness_worst>=-1.567699 35   4 B (0.885714286 0.114285714)  
##             104) compactness_se>=-3.844077 33   2 B (0.939393939 0.060606061) *
##             105) compactness_se< -3.844077 2   0 M (0.000000000 1.000000000) *
##            53) smoothness_worst< -1.567699 5   0 M (0.000000000 1.000000000) *
##          27) symmetry_worst>=-1.61522 31  10 M (0.322580645 0.677419355)  
##            54) compactness_se>=-2.679301 4   0 B (1.000000000 0.000000000) *
##            55) compactness_se< -2.679301 27   6 M (0.222222222 0.777777778)  
##             110) compactness_se< -3.646366 6   2 B (0.666666667 0.333333333) *
##             111) compactness_se>=-3.646366 21   2 M (0.095238095 0.904761905) *
##       7) texture_worst>=4.389172 349  89 M (0.255014327 0.744985673)  
##        14) compactness_se< -4.201715 41  14 B (0.658536585 0.341463415)  
##          28) smoothness_mean>=-2.3007 28   2 B (0.928571429 0.071428571)  
##            56) smoothness_mean< -2.22149 24   0 B (1.000000000 0.000000000) *
##            57) smoothness_mean>=-2.22149 4   2 B (0.500000000 0.500000000)  
##             114) texture_mean>=3.00169 2   0 B (1.000000000 0.000000000) *
##             115) texture_mean< 3.00169 2   0 M (0.000000000 1.000000000) *
##          29) smoothness_mean< -2.3007 13   1 M (0.076923077 0.923076923)  
##            58) texture_mean< 2.884144 1   0 B (1.000000000 0.000000000) *
##            59) texture_mean>=2.884144 12   0 M (0.000000000 1.000000000) *
##        15) compactness_se>=-4.201715 308  62 M (0.201298701 0.798701299)  
##          30) smoothness_mean< -2.2971 80  31 M (0.387500000 0.612500000)  
##            60) smoothness_mean>=-2.301086 13   0 B (1.000000000 0.000000000) *
##            61) smoothness_mean< -2.301086 67  18 M (0.268656716 0.731343284)  
##             122) texture_worst< 4.514456 9   0 B (1.000000000 0.000000000) *
##             123) texture_worst>=4.514456 58   9 M (0.155172414 0.844827586) *
##          31) smoothness_mean>=-2.2971 228  31 M (0.135964912 0.864035088)  
##            62) symmetry_worst< -1.660064 87  23 M (0.264367816 0.735632184)  
##             124) smoothness_mean>=-2.094359 8   0 B (1.000000000 0.000000000) *
##             125) smoothness_mean< -2.094359 79  15 M (0.189873418 0.810126582) *
##            63) symmetry_worst>=-1.660064 141   8 M (0.056737589 0.943262411)  
##             126) compactness_se< -4.04059 32   7 M (0.218750000 0.781250000) *
##             127) compactness_se>=-4.04059 109   1 M (0.009174312 0.990825688) *
## 
## $trees[[5]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 401 B (0.56030702 0.43969298)  
##     2) symmetry_worst< -1.815238 379 104 B (0.72559367 0.27440633)  
##       4) smoothness_worst< -1.52112 264  49 B (0.81439394 0.18560606)  
##         8) smoothness_worst>=-1.723213 250  38 B (0.84800000 0.15200000)  
##          16) compactness_se>=-4.49319 185  17 B (0.90810811 0.09189189)  
##            32) symmetry_worst>=-2.167572 128   5 B (0.96093750 0.03906250)  
##              64) texture_worst< 5.353194 127   4 B (0.96850394 0.03149606) *
##              65) texture_worst>=5.353194 1   0 M (0.00000000 1.00000000) *
##            33) symmetry_worst< -2.167572 57  12 B (0.78947368 0.21052632)  
##              66) symmetry_worst< -2.191305 51   7 B (0.86274510 0.13725490) *
##              67) symmetry_worst>=-2.191305 6   1 M (0.16666667 0.83333333) *
##          17) compactness_se< -4.49319 65  21 B (0.67692308 0.32307692)  
##            34) smoothness_mean< -2.423933 47   7 B (0.85106383 0.14893617)  
##              68) texture_worst< 4.883819 33   0 B (1.00000000 0.00000000) *
##              69) texture_worst>=4.883819 14   7 B (0.50000000 0.50000000) *
##            35) smoothness_mean>=-2.423933 18   4 M (0.22222222 0.77777778)  
##              70) compactness_se< -4.613339 4   0 B (1.00000000 0.00000000) *
##              71) compactness_se>=-4.613339 14   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst< -1.723213 14   3 M (0.21428571 0.78571429)  
##          18) compactness_se< -3.013033 3   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-3.013033 11   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst>=-1.52112 115  55 B (0.52173913 0.47826087)  
##        10) texture_worst< 4.851322 80  23 B (0.71250000 0.28750000)  
##          20) smoothness_mean>=-2.35715 53   6 B (0.88679245 0.11320755)  
##            40) texture_mean< 3.104804 52   5 B (0.90384615 0.09615385)  
##              80) texture_worst>=4.355555 31   0 B (1.00000000 0.00000000) *
##              81) texture_worst< 4.355555 21   5 B (0.76190476 0.23809524) *
##            41) texture_mean>=3.104804 1   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean< -2.35715 27  10 M (0.37037037 0.62962963)  
##            42) texture_mean< 2.846361 8   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.846361 19   2 M (0.10526316 0.89473684)  
##              86) texture_mean>=3.020109 2   0 B (1.00000000 0.00000000) *
##              87) texture_mean< 3.020109 17   0 M (0.00000000 1.00000000) *
##        11) texture_worst>=4.851322 35   3 M (0.08571429 0.91428571)  
##          22) symmetry_worst< -2.219322 4   1 B (0.75000000 0.25000000)  
##            44) texture_mean>=3.262086 3   0 B (1.00000000 0.00000000) *
##            45) texture_mean< 3.262086 1   0 M (0.00000000 1.00000000) *
##          23) symmetry_worst>=-2.219322 31   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.815238 533 236 M (0.44277674 0.55722326)  
##       6) texture_worst< 4.275049 81  22 B (0.72839506 0.27160494)  
##        12) compactness_se< -3.957552 36   0 B (1.00000000 0.00000000) *
##        13) compactness_se>=-3.957552 45  22 B (0.51111111 0.48888889)  
##          26) symmetry_worst>=-1.801456 37  14 B (0.62162162 0.37837838)  
##            52) smoothness_worst< -1.464806 19   1 B (0.94736842 0.05263158)  
##             104) symmetry_worst< -1.131391 18   0 B (1.00000000 0.00000000) *
##             105) symmetry_worst>=-1.131391 1   0 M (0.00000000 1.00000000) *
##            53) smoothness_worst>=-1.464806 18   5 M (0.27777778 0.72222222)  
##             106) smoothness_worst>=-1.394752 5   1 B (0.80000000 0.20000000) *
##             107) smoothness_worst< -1.394752 13   1 M (0.07692308 0.92307692) *
##          27) symmetry_worst< -1.801456 8   0 M (0.00000000 1.00000000) *
##       7) texture_worst>=4.275049 452 177 M (0.39159292 0.60840708)  
##        14) symmetry_worst< -1.329407 391 167 M (0.42710997 0.57289003)  
##          28) texture_worst>=4.622562 193  89 B (0.53886010 0.46113990)  
##            56) texture_worst< 4.674843 31   1 B (0.96774194 0.03225806)  
##             112) texture_mean< 3.10156 30   0 B (1.00000000 0.00000000) *
##             113) texture_mean>=3.10156 1   0 M (0.00000000 1.00000000) *
##            57) texture_worst>=4.674843 162  74 M (0.45679012 0.54320988)  
##             114) symmetry_worst< -1.716176 45   9 B (0.80000000 0.20000000) *
##             115) symmetry_worst>=-1.716176 117  38 M (0.32478632 0.67521368) *
##          29) texture_worst< 4.622562 198  63 M (0.31818182 0.68181818)  
##            58) symmetry_worst>=-1.637868 92  44 B (0.52173913 0.47826087)  
##             116) texture_mean< 2.956197 67  21 B (0.68656716 0.31343284) *
##             117) texture_mean>=2.956197 25   2 M (0.08000000 0.92000000) *
##            59) symmetry_worst< -1.637868 106  15 M (0.14150943 0.85849057)  
##             118) compactness_se>=-3.361974 15   7 B (0.53333333 0.46666667) *
##             119) compactness_se< -3.361974 91   7 M (0.07692308 0.92307692) *
##        15) symmetry_worst>=-1.329407 61  10 M (0.16393443 0.83606557)  
##          30) symmetry_worst>=-1.128751 27  10 M (0.37037037 0.62962963)  
##            60) symmetry_worst< -1.072749 11   1 B (0.90909091 0.09090909)  
##             120) smoothness_mean< -2.172845 10   0 B (1.00000000 0.00000000) *
##             121) smoothness_mean>=-2.172845 1   0 M (0.00000000 1.00000000) *
##            61) symmetry_worst>=-1.072749 16   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst< -1.128751 34   0 M (0.00000000 1.00000000) *
## 
## $trees[[6]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 428 B (0.53070175 0.46929825)  
##     2) texture_mean< 2.708713 73   9 B (0.87671233 0.12328767)  
##       4) smoothness_mean< -2.147386 64   2 B (0.96875000 0.03125000)  
##         8) compactness_se< -2.990558 62   0 B (1.00000000 0.00000000) *
##         9) compactness_se>=-2.990558 2   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean>=-2.147386 9   2 M (0.22222222 0.77777778)  
##        10) symmetry_worst< -1.637193 2   0 B (1.00000000 0.00000000) *
##        11) symmetry_worst>=-1.637193 7   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.708713 839 419 B (0.50059595 0.49940405)  
##       6) symmetry_worst< -1.423936 775 368 B (0.52516129 0.47483871)  
##        12) texture_worst>=4.642157 364 135 B (0.62912088 0.37087912)  
##          24) texture_mean< 2.947329 36   1 B (0.97222222 0.02777778)  
##            48) smoothness_worst< -1.452953 35   0 B (1.00000000 0.00000000) *
##            49) smoothness_worst>=-1.452953 1   0 M (0.00000000 1.00000000) *
##          25) texture_mean>=2.947329 328 134 B (0.59146341 0.40853659)  
##            50) texture_mean>=2.964757 303 110 B (0.63696370 0.36303630)  
##             100) compactness_se< -3.334337 240  70 B (0.70833333 0.29166667) *
##             101) compactness_se>=-3.334337 63  23 M (0.36507937 0.63492063) *
##            51) texture_mean< 2.964757 25   1 M (0.04000000 0.96000000)  
##             102) compactness_se>=-4.002448 1   0 B (1.00000000 0.00000000) *
##             103) compactness_se< -4.002448 24   0 M (0.00000000 1.00000000) *
##        13) texture_worst< 4.642157 411 178 M (0.43309002 0.56690998)  
##          26) symmetry_worst< -1.82955 175  68 B (0.61142857 0.38857143)  
##            52) texture_mean< 3.046102 139  38 B (0.72661871 0.27338129)  
##             104) smoothness_mean< -2.443746 36   0 B (1.00000000 0.00000000) *
##             105) smoothness_mean>=-2.443746 103  38 B (0.63106796 0.36893204) *
##            53) texture_mean>=3.046102 36   6 M (0.16666667 0.83333333)  
##             106) compactness_se< -3.614826 14   6 M (0.42857143 0.57142857) *
##             107) compactness_se>=-3.614826 22   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-1.82955 236  71 M (0.30084746 0.69915254)  
##            54) texture_worst< 4.253815 18   4 B (0.77777778 0.22222222)  
##             108) texture_mean>=2.717651 14   0 B (1.00000000 0.00000000) *
##             109) texture_mean< 2.717651 4   0 M (0.00000000 1.00000000) *
##            55) texture_worst>=4.253815 218  57 M (0.26146789 0.73853211)  
##             110) smoothness_worst< -1.472307 174  57 M (0.32758621 0.67241379) *
##             111) smoothness_worst>=-1.472307 44   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.423936 64  13 M (0.20312500 0.79687500)  
##        14) texture_worst< 4.544356 14   5 B (0.64285714 0.35714286)  
##          28) smoothness_worst< -1.451731 7   0 B (1.00000000 0.00000000) *
##          29) smoothness_worst>=-1.451731 7   2 M (0.28571429 0.71428571)  
##            58) compactness_se< -4.095906 2   0 B (1.00000000 0.00000000) *
##            59) compactness_se>=-4.095906 5   0 M (0.00000000 1.00000000) *
##        15) texture_worst>=4.544356 50   4 M (0.08000000 0.92000000)  
##          30) smoothness_worst< -1.49649 11   4 M (0.36363636 0.63636364)  
##            60) compactness_se>=-3.88112 6   2 B (0.66666667 0.33333333)  
##             120) texture_mean< 3.163269 5   1 B (0.80000000 0.20000000) *
##             121) texture_mean>=3.163269 1   0 M (0.00000000 1.00000000) *
##            61) compactness_se< -3.88112 5   0 M (0.00000000 1.00000000) *
##          31) smoothness_worst>=-1.49649 39   0 M (0.00000000 1.00000000) *
## 
## $trees[[7]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 416 B (0.54385965 0.45614035)  
##     2) smoothness_worst< -1.472307 677 265 B (0.60856721 0.39143279)  
##       4) smoothness_worst>=-1.4768 48   1 B (0.97916667 0.02083333)  
##         8) texture_worst< 4.844547 47   0 B (1.00000000 0.00000000) *
##         9) texture_worst>=4.844547 1   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.4768 629 264 B (0.58028617 0.41971383)  
##        10) smoothness_worst< -1.482107 586 228 B (0.61092150 0.38907850)  
##          20) compactness_se< -4.705565 36   0 B (1.00000000 0.00000000) *
##          21) compactness_se>=-4.705565 550 228 B (0.58545455 0.41454545)  
##            42) compactness_se>=-4.448167 466 168 B (0.63948498 0.36051502)  
##              84) smoothness_mean< -2.468227 114  22 B (0.80701754 0.19298246) *
##              85) smoothness_mean>=-2.468227 352 146 B (0.58522727 0.41477273) *
##            43) compactness_se< -4.448167 84  24 M (0.28571429 0.71428571)  
##              86) texture_mean< 2.846651 9   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.846651 75  15 M (0.20000000 0.80000000) *
##        11) smoothness_worst>=-1.482107 43   7 M (0.16279070 0.83720930)  
##          22) smoothness_mean>=-2.246249 9   2 B (0.77777778 0.22222222)  
##            44) smoothness_mean< -2.2064 7   0 B (1.00000000 0.00000000) *
##            45) smoothness_mean>=-2.2064 2   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean< -2.246249 34   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.472307 235  84 M (0.35744681 0.64255319)  
##       6) compactness_se< -4.038153 57  15 B (0.73684211 0.26315789)  
##        12) smoothness_worst>=-1.456497 40   4 B (0.90000000 0.10000000)  
##          24) compactness_se>=-4.195493 22   0 B (1.00000000 0.00000000) *
##          25) compactness_se< -4.195493 18   4 B (0.77777778 0.22222222)  
##            50) smoothness_worst< -1.434089 12   0 B (1.00000000 0.00000000) *
##            51) smoothness_worst>=-1.434089 6   2 M (0.33333333 0.66666667)  
##             102) texture_mean< 2.950291 2   0 B (1.00000000 0.00000000) *
##             103) texture_mean>=2.950291 4   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst< -1.456497 17   6 M (0.35294118 0.64705882)  
##          26) texture_mean< 2.901883 6   0 B (1.00000000 0.00000000) *
##          27) texture_mean>=2.901883 11   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-4.038153 178  42 M (0.23595506 0.76404494)  
##        14) smoothness_mean< -2.361754 25   8 B (0.68000000 0.32000000)  
##          28) compactness_se>=-3.030255 16   0 B (1.00000000 0.00000000) *
##          29) compactness_se< -3.030255 9   1 M (0.11111111 0.88888889)  
##            58) texture_mean< 2.772337 1   0 B (1.00000000 0.00000000) *
##            59) texture_mean>=2.772337 8   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean>=-2.361754 153  25 M (0.16339869 0.83660131)  
##          30) texture_worst< 3.781157 4   0 B (1.00000000 0.00000000) *
##          31) texture_worst>=3.781157 149  21 M (0.14093960 0.85906040)  
##            62) symmetry_worst< -2.188127 4   0 B (1.00000000 0.00000000) *
##            63) symmetry_worst>=-2.188127 145  17 M (0.11724138 0.88275862)  
##             126) smoothness_mean>=-2.142595 30   9 M (0.30000000 0.70000000) *
##             127) smoothness_mean< -2.142595 115   8 M (0.06956522 0.93043478) *
## 
## $trees[[8]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 421 M (0.46162281 0.53837719)  
##     2) compactness_se< -4.198706 236  81 B (0.65677966 0.34322034)  
##       4) texture_mean< 2.871852 72   4 B (0.94444444 0.05555556)  
##         8) texture_worst< 4.600092 58   0 B (1.00000000 0.00000000) *
##         9) texture_worst>=4.600092 14   4 B (0.71428571 0.28571429)  
##          18) compactness_se< -4.554747 10   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-4.554747 4   0 M (0.00000000 1.00000000) *
##       5) texture_mean>=2.871852 164  77 B (0.53048780 0.46951220)  
##        10) symmetry_worst< -2.044337 38   4 B (0.89473684 0.10526316)  
##          20) symmetry_worst>=-2.382417 32   0 B (1.00000000 0.00000000) *
##          21) symmetry_worst< -2.382417 6   2 M (0.33333333 0.66666667)  
##            42) smoothness_mean< -2.516136 1   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean>=-2.516136 5   1 M (0.20000000 0.80000000)  
##              86) smoothness_mean>=-2.292329 1   0 B (1.00000000 0.00000000) *
##              87) smoothness_mean< -2.292329 4   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-2.044337 126  53 M (0.42063492 0.57936508)  
##          22) symmetry_worst>=-1.733593 66  23 B (0.65151515 0.34848485)  
##            44) smoothness_worst>=-1.588911 57  15 B (0.73684211 0.26315789)  
##              88) compactness_se>=-4.658767 44   6 B (0.86363636 0.13636364) *
##              89) compactness_se< -4.658767 13   4 M (0.30769231 0.69230769) *
##            45) smoothness_worst< -1.588911 9   1 M (0.11111111 0.88888889)  
##              90) texture_mean>=3.4578 1   0 B (1.00000000 0.00000000) *
##              91) texture_mean< 3.4578 8   0 M (0.00000000 1.00000000) *
##          23) symmetry_worst< -1.733593 60  10 M (0.16666667 0.83333333)  
##            46) smoothness_worst< -1.560717 16   8 B (0.50000000 0.50000000)  
##              92) smoothness_mean>=-2.519778 7   0 B (1.00000000 0.00000000) *
##              93) smoothness_mean< -2.519778 9   1 M (0.11111111 0.88888889) *
##            47) smoothness_worst>=-1.560717 44   2 M (0.04545455 0.95454545)  
##              94) compactness_se>=-4.20673 2   0 B (1.00000000 0.00000000) *
##              95) compactness_se< -4.20673 42   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-4.198706 676 266 M (0.39349112 0.60650888)  
##       6) texture_worst< 5.026995 601 262 M (0.43594010 0.56405990)  
##        12) smoothness_mean< -2.2971 357 168 B (0.52941176 0.47058824)  
##          24) compactness_se>=-3.93685 246  92 B (0.62601626 0.37398374)  
##            48) smoothness_worst>=-1.534507 102  21 B (0.79411765 0.20588235)  
##              96) texture_worst< 5.003123 92  11 B (0.88043478 0.11956522) *
##              97) texture_worst>=5.003123 10   0 M (0.00000000 1.00000000) *
##            49) smoothness_worst< -1.534507 144  71 B (0.50694444 0.49305556)  
##              98) compactness_se< -3.714078 22   0 B (1.00000000 0.00000000) *
##              99) compactness_se>=-3.714078 122  51 M (0.41803279 0.58196721) *
##          25) compactness_se< -3.93685 111  35 M (0.31531532 0.68468468)  
##            50) texture_mean< 2.809391 13   0 B (1.00000000 0.00000000) *
##            51) texture_mean>=2.809391 98  22 M (0.22448980 0.77551020)  
##             102) smoothness_mean>=-2.352223 28  11 B (0.60714286 0.39285714) *
##             103) smoothness_mean< -2.352223 70   5 M (0.07142857 0.92857143) *
##        13) smoothness_mean>=-2.2971 244  73 M (0.29918033 0.70081967)  
##          26) texture_worst>=4.94309 14   3 B (0.78571429 0.21428571)  
##            52) symmetry_worst< -1.219853 11   0 B (1.00000000 0.00000000) *
##            53) symmetry_worst>=-1.219853 3   0 M (0.00000000 1.00000000) *
##          27) texture_worst< 4.94309 230  62 M (0.26956522 0.73043478)  
##            54) smoothness_mean>=-2.288684 192  61 M (0.31770833 0.68229167)  
##             108) compactness_se< -4.038279 13   0 B (1.00000000 0.00000000) *
##             109) compactness_se>=-4.038279 179  48 M (0.26815642 0.73184358) *
##            55) smoothness_mean< -2.288684 38   1 M (0.02631579 0.97368421)  
##             110) smoothness_worst>=-1.471948 1   0 B (1.00000000 0.00000000) *
##             111) smoothness_worst< -1.471948 37   0 M (0.00000000 1.00000000) *
##       7) texture_worst>=5.026995 75   4 M (0.05333333 0.94666667)  
##        14) symmetry_worst< -2.299309 1   0 B (1.00000000 0.00000000) *
##        15) symmetry_worst>=-2.299309 74   3 M (0.04054054 0.95945946)  
##          30) texture_mean>=3.337721 11   3 M (0.27272727 0.72727273)  
##            60) compactness_se< -3.721197 2   0 B (1.00000000 0.00000000) *
##            61) compactness_se>=-3.721197 9   1 M (0.11111111 0.88888889)  
##             122) texture_mean< 3.340739 1   0 B (1.00000000 0.00000000) *
##             123) texture_mean>=3.340739 8   0 M (0.00000000 1.00000000) *
##          31) texture_mean< 3.337721 63   0 M (0.00000000 1.00000000) *
## 
## $trees[[9]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 437 B (0.52083333 0.47916667)  
##     2) texture_mean< 2.76789 100  12 B (0.88000000 0.12000000)  
##       4) smoothness_mean< -1.977294 93   7 B (0.92473118 0.07526882)  
##         8) symmetry_worst< -1.075653 92   6 B (0.93478261 0.06521739)  
##          16) texture_worst< 4.173615 67   1 B (0.98507463 0.01492537)  
##            32) compactness_se< -3.496773 52   0 B (1.00000000 0.00000000) *
##            33) compactness_se>=-3.496773 15   1 B (0.93333333 0.06666667)  
##              66) compactness_se>=-3.440422 14   0 B (1.00000000 0.00000000) *
##              67) compactness_se< -3.440422 1   0 M (0.00000000 1.00000000) *
##          17) texture_worst>=4.173615 25   5 B (0.80000000 0.20000000)  
##            34) texture_worst>=4.278003 14   0 B (1.00000000 0.00000000) *
##            35) texture_worst< 4.278003 11   5 B (0.54545455 0.45454545)  
##              70) compactness_se< -3.738905 7   1 B (0.85714286 0.14285714) *
##              71) compactness_se>=-3.738905 4   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst>=-1.075653 1   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean>=-1.977294 7   2 M (0.28571429 0.71428571)  
##        10) texture_mean< 2.649801 2   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.649801 5   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.76789 812 387 M (0.47660099 0.52339901)  
##       6) symmetry_worst< -1.424186 750 372 B (0.50400000 0.49600000)  
##        12) texture_mean< 3.058472 488 210 B (0.56967213 0.43032787)  
##          24) smoothness_worst>=-1.477389 138  34 B (0.75362319 0.24637681)  
##            48) smoothness_worst< -1.470752 36   0 B (1.00000000 0.00000000) *
##            49) smoothness_worst>=-1.470752 102  34 B (0.66666667 0.33333333)  
##              98) texture_worst>=4.63229 52  10 B (0.80769231 0.19230769) *
##              99) texture_worst< 4.63229 50  24 B (0.52000000 0.48000000) *
##          25) smoothness_worst< -1.477389 350 174 M (0.49714286 0.50285714)  
##            50) smoothness_mean< -2.469112 77  19 B (0.75324675 0.24675325)  
##             100) smoothness_worst>=-1.620609 36   0 B (1.00000000 0.00000000) *
##             101) smoothness_worst< -1.620609 41  19 B (0.53658537 0.46341463) *
##            51) smoothness_mean>=-2.469112 273 116 M (0.42490842 0.57509158)  
##             102) smoothness_mean>=-2.234468 31   5 B (0.83870968 0.16129032) *
##             103) smoothness_mean< -2.234468 242  90 M (0.37190083 0.62809917) *
##        13) texture_mean>=3.058472 262 100 M (0.38167939 0.61832061)  
##          26) smoothness_worst< -1.603555 55  15 B (0.72727273 0.27272727)  
##            52) compactness_se< -3.004445 40   2 B (0.95000000 0.05000000)  
##             104) symmetry_worst>=-3.054794 39   1 B (0.97435897 0.02564103) *
##             105) symmetry_worst< -3.054794 1   0 M (0.00000000 1.00000000) *
##            53) compactness_se>=-3.004445 15   2 M (0.13333333 0.86666667)  
##             106) texture_mean< 3.076827 2   0 B (1.00000000 0.00000000) *
##             107) texture_mean>=3.076827 13   0 M (0.00000000 1.00000000) *
##          27) smoothness_worst>=-1.603555 207  60 M (0.28985507 0.71014493)  
##            54) compactness_se< -4.380042 25   8 B (0.68000000 0.32000000)  
##             108) texture_mean>=3.212747 14   0 B (1.00000000 0.00000000) *
##             109) texture_mean< 3.212747 11   3 M (0.27272727 0.72727273) *
##            55) compactness_se>=-4.380042 182  43 M (0.23626374 0.76373626)  
##             110) compactness_se>=-3.902076 136  41 M (0.30147059 0.69852941) *
##             111) compactness_se< -3.902076 46   2 M (0.04347826 0.95652174) *
##       7) symmetry_worst>=-1.424186 62   9 M (0.14516129 0.85483871)  
##        14) compactness_se< -4.446033 3   0 B (1.00000000 0.00000000) *
##        15) compactness_se>=-4.446033 59   6 M (0.10169492 0.89830508)  
##          30) texture_mean< 2.856176 8   3 M (0.37500000 0.62500000)  
##            60) texture_mean>=2.833325 3   0 B (1.00000000 0.00000000) *
##            61) texture_mean< 2.833325 5   0 M (0.00000000 1.00000000) *
##          31) texture_mean>=2.856176 51   3 M (0.05882353 0.94117647)  
##            62) smoothness_worst< -1.501886 9   3 M (0.33333333 0.66666667)  
##             124) texture_mean< 3.027776 2   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=3.027776 7   1 M (0.14285714 0.85714286) *
##            63) smoothness_worst>=-1.501886 42   0 M (0.00000000 1.00000000) *
## 
## $trees[[10]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 452 B (0.50438596 0.49561404)  
##     2) texture_mean< 2.963467 412 162 B (0.60679612 0.39320388)  
##       4) symmetry_worst>=-1.749635 211  62 B (0.70616114 0.29383886)  
##         8) smoothness_worst< -1.495235 96   7 B (0.92708333 0.07291667)  
##          16) smoothness_mean< -2.171581 94   5 B (0.94680851 0.05319149)  
##            32) compactness_se>=-4.681232 75   0 B (1.00000000 0.00000000) *
##            33) compactness_se< -4.681232 19   5 B (0.73684211 0.26315789)  
##              66) compactness_se< -4.694501 14   0 B (1.00000000 0.00000000) *
##              67) compactness_se>=-4.694501 5   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean>=-2.171581 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst>=-1.495235 115  55 B (0.52173913 0.47826087)  
##          18) compactness_se< -4.214968 19   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-4.214968 96  41 M (0.42708333 0.57291667)  
##            38) smoothness_worst>=-1.478565 61  25 B (0.59016393 0.40983607)  
##              76) compactness_se< -3.646366 32   4 B (0.87500000 0.12500000) *
##              77) compactness_se>=-3.646366 29   8 M (0.27586207 0.72413793) *
##            39) smoothness_worst< -1.478565 35   5 M (0.14285714 0.85714286)  
##              78) smoothness_mean< -2.350209 6   2 B (0.66666667 0.33333333) *
##              79) smoothness_mean>=-2.350209 29   1 M (0.03448276 0.96551724) *
##       5) symmetry_worst< -1.749635 201 100 B (0.50248756 0.49751244)  
##        10) symmetry_worst< -1.815934 124  45 B (0.63709677 0.36290323)  
##          20) smoothness_mean< -2.391331 44   3 B (0.93181818 0.06818182)  
##            40) texture_worst>=3.914405 36   0 B (1.00000000 0.00000000) *
##            41) texture_worst< 3.914405 8   3 B (0.62500000 0.37500000)  
##              82) texture_mean< 2.735767 5   0 B (1.00000000 0.00000000) *
##              83) texture_mean>=2.735767 3   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean>=-2.391331 80  38 M (0.47500000 0.52500000)  
##            42) smoothness_mean>=-2.34755 61  24 B (0.60655738 0.39344262)  
##              84) smoothness_worst>=-1.567043 49  12 B (0.75510204 0.24489796) *
##              85) smoothness_worst< -1.567043 12   0 M (0.00000000 1.00000000) *
##            43) smoothness_mean< -2.34755 19   1 M (0.05263158 0.94736842)  
##              86) texture_mean< 2.696279 1   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.696279 18   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.815934 77  22 M (0.28571429 0.71428571)  
##          22) smoothness_mean>=-2.313605 21   5 B (0.76190476 0.23809524)  
##            44) texture_worst< 4.514818 16   0 B (1.00000000 0.00000000) *
##            45) texture_worst>=4.514818 5   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean< -2.313605 56   6 M (0.10714286 0.89285714)  
##            46) texture_worst< 4.041871 3   0 B (1.00000000 0.00000000) *
##            47) texture_worst>=4.041871 53   3 M (0.05660377 0.94339623)  
##              94) compactness_se>=-3.93685 16   3 M (0.18750000 0.81250000) *
##              95) compactness_se< -3.93685 37   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.963467 500 210 M (0.42000000 0.58000000)  
##       6) symmetry_worst< -1.407879 462 208 M (0.45021645 0.54978355)  
##        12) texture_mean>=2.987952 398 195 M (0.48994975 0.51005025)  
##          24) smoothness_worst< -1.618721 53  12 B (0.77358491 0.22641509)  
##            48) compactness_se< -3.004445 39   0 B (1.00000000 0.00000000) *
##            49) compactness_se>=-3.004445 14   2 M (0.14285714 0.85714286)  
##              98) texture_mean< 3.076827 2   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=3.076827 12   0 M (0.00000000 1.00000000) *
##          25) smoothness_worst>=-1.618721 345 154 M (0.44637681 0.55362319)  
##            50) smoothness_mean< -2.508076 13   0 B (1.00000000 0.00000000) *
##            51) smoothness_mean>=-2.508076 332 141 M (0.42469880 0.57530120)  
##             102) symmetry_worst>=-1.472361 17   2 B (0.88235294 0.11764706) *
##             103) symmetry_worst< -1.472361 315 126 M (0.40000000 0.60000000) *
##        13) texture_mean< 2.987952 64  13 M (0.20312500 0.79687500)  
##          26) symmetry_worst< -1.866596 15   4 B (0.73333333 0.26666667)  
##            52) smoothness_worst< -1.460243 11   0 B (1.00000000 0.00000000) *
##            53) smoothness_worst>=-1.460243 4   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-1.866596 49   2 M (0.04081633 0.95918367)  
##            54) symmetry_worst>=-1.510954 2   0 B (1.00000000 0.00000000) *
##            55) symmetry_worst< -1.510954 47   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.407879 38   2 M (0.05263158 0.94736842)  
##        14) smoothness_worst< -1.501886 11   2 M (0.18181818 0.81818182)  
##          28) smoothness_mean>=-2.349786 2   0 B (1.00000000 0.00000000) *
##          29) smoothness_mean< -2.349786 9   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.501886 27   0 M (0.00000000 1.00000000) *
## 
## $trees[[11]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 364 B (0.60087719 0.39912281)  
##     2) smoothness_worst< -1.501069 533 172 B (0.67729831 0.32270169)  
##       4) smoothness_worst>=-1.533868 178  32 B (0.82022472 0.17977528)  
##         8) smoothness_mean>=-2.301086 76   3 B (0.96052632 0.03947368)  
##          16) compactness_se< -3.645361 57   0 B (1.00000000 0.00000000) *
##          17) compactness_se>=-3.645361 19   3 B (0.84210526 0.15789474)  
##            34) texture_mean< 3.043869 14   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=3.043869 5   2 M (0.40000000 0.60000000)  
##              70) texture_mean>=3.100889 2   0 B (1.00000000 0.00000000) *
##              71) texture_mean< 3.100889 3   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.301086 102  29 B (0.71568627 0.28431373)  
##          18) smoothness_worst< -1.52382 54   1 B (0.98148148 0.01851852)  
##            36) texture_mean< 3.09982 53   0 B (1.00000000 0.00000000) *
##            37) texture_mean>=3.09982 1   0 M (0.00000000 1.00000000) *
##          19) smoothness_worst>=-1.52382 48  20 M (0.41666667 0.58333333)  
##            38) smoothness_worst>=-1.509803 13   0 B (1.00000000 0.00000000) *
##            39) smoothness_worst< -1.509803 35   7 M (0.20000000 0.80000000)  
##              78) texture_mean< 2.978922 11   4 B (0.63636364 0.36363636) *
##              79) texture_mean>=2.978922 24   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.533868 355 140 B (0.60563380 0.39436620)  
##        10) smoothness_worst< -1.558926 252  75 B (0.70238095 0.29761905)  
##          20) smoothness_worst>=-1.59459 111  13 B (0.88288288 0.11711712)  
##            40) texture_mean>=2.736085 102   7 B (0.93137255 0.06862745)  
##              80) texture_mean< 3.367615 98   5 B (0.94897959 0.05102041) *
##              81) texture_mean>=3.367615 4   2 B (0.50000000 0.50000000) *
##            41) texture_mean< 2.736085 9   3 M (0.33333333 0.66666667)  
##              82) texture_mean< 2.701611 3   0 B (1.00000000 0.00000000) *
##              83) texture_mean>=2.701611 6   0 M (0.00000000 1.00000000) *
##          21) smoothness_worst< -1.59459 141  62 B (0.56028369 0.43971631)  
##            42) texture_mean>=3.086027 34   4 B (0.88235294 0.11764706)  
##              84) smoothness_mean< -2.373736 32   2 B (0.93750000 0.06250000) *
##              85) smoothness_mean>=-2.373736 2   0 M (0.00000000 1.00000000) *
##            43) texture_mean< 3.086027 107  49 M (0.45794393 0.54205607)  
##              86) texture_mean< 2.891739 27   5 B (0.81481481 0.18518519) *
##              87) texture_mean>=2.891739 80  27 M (0.33750000 0.66250000) *
##        11) smoothness_worst>=-1.558926 103  38 M (0.36893204 0.63106796)  
##          22) smoothness_mean< -2.48706 5   0 B (1.00000000 0.00000000) *
##          23) smoothness_mean>=-2.48706 98  33 M (0.33673469 0.66326531)  
##            46) texture_mean< 2.874407 31  13 B (0.58064516 0.41935484)  
##              92) texture_worst>=4.309643 14   0 B (1.00000000 0.00000000) *
##              93) texture_worst< 4.309643 17   4 M (0.23529412 0.76470588) *
##            47) texture_mean>=2.874407 67  15 M (0.22388060 0.77611940)  
##              94) compactness_se>=-4.087687 41  15 M (0.36585366 0.63414634) *
##              95) compactness_se< -4.087687 26   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.501069 379 187 M (0.49340369 0.50659631)  
##       6) compactness_se< -3.990915 117  41 B (0.64957265 0.35042735)  
##        12) smoothness_mean>=-2.290664 56   6 B (0.89285714 0.10714286)  
##          24) texture_worst< 5.040422 53   3 B (0.94339623 0.05660377)  
##            48) compactness_se< -4.02632 51   2 B (0.96078431 0.03921569)  
##              96) smoothness_mean< -2.21595 43   0 B (1.00000000 0.00000000) *
##              97) smoothness_mean>=-2.21595 8   2 B (0.75000000 0.25000000) *
##            49) compactness_se>=-4.02632 2   1 B (0.50000000 0.50000000)  
##              98) texture_mean< 2.69979 1   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=2.69979 1   0 M (0.00000000 1.00000000) *
##          25) texture_worst>=5.040422 3   0 M (0.00000000 1.00000000) *
##        13) smoothness_mean< -2.290664 61  26 M (0.42622951 0.57377049)  
##          26) texture_worst< 4.514456 12   0 B (1.00000000 0.00000000) *
##          27) texture_worst>=4.514456 49  14 M (0.28571429 0.71428571)  
##            54) smoothness_worst>=-1.46668 14   2 B (0.85714286 0.14285714)  
##             108) smoothness_mean< -2.333927 12   0 B (1.00000000 0.00000000) *
##             109) smoothness_mean>=-2.333927 2   0 M (0.00000000 1.00000000) *
##            55) smoothness_worst< -1.46668 35   2 M (0.05714286 0.94285714)  
##             110) compactness_se>=-4.064037 2   0 B (1.00000000 0.00000000) *
##             111) compactness_se< -4.064037 33   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-3.990915 262 111 M (0.42366412 0.57633588)  
##        14) compactness_se>=-3.761452 190  94 M (0.49473684 0.50526316)  
##          28) smoothness_mean< -2.323555 63  17 B (0.73015873 0.26984127)  
##            56) texture_worst>=4.59283 51   5 B (0.90196078 0.09803922)  
##             112) symmetry_worst< -1.170683 48   2 B (0.95833333 0.04166667) *
##             113) symmetry_worst>=-1.170683 3   0 M (0.00000000 1.00000000) *
##            57) texture_worst< 4.59283 12   0 M (0.00000000 1.00000000) *
##          29) smoothness_mean>=-2.323555 127  48 M (0.37795276 0.62204724)  
##            58) texture_mean< 2.914451 50  19 B (0.62000000 0.38000000)  
##             116) smoothness_mean>=-2.256679 44  13 B (0.70454545 0.29545455) *
##             117) smoothness_mean< -2.256679 6   0 M (0.00000000 1.00000000) *
##            59) texture_mean>=2.914451 77  17 M (0.22077922 0.77922078)  
##             118) smoothness_mean>=-2.093138 20   5 B (0.75000000 0.25000000) *
##             119) smoothness_mean< -2.093138 57   2 M (0.03508772 0.96491228) *
##        15) compactness_se< -3.761452 72  17 M (0.23611111 0.76388889)  
##          30) texture_mean< 3.003683 46  17 M (0.36956522 0.63043478)  
##            60) smoothness_worst< -1.4727 18   5 B (0.72222222 0.27777778)  
##             120) symmetry_worst>=-1.886625 11   0 B (1.00000000 0.00000000) *
##             121) symmetry_worst< -1.886625 7   2 M (0.28571429 0.71428571) *
##            61) smoothness_worst>=-1.4727 28   4 M (0.14285714 0.85714286)  
##             122) symmetry_worst< -1.895488 3   0 B (1.00000000 0.00000000) *
##             123) symmetry_worst>=-1.895488 25   1 M (0.04000000 0.96000000) *
##          31) texture_mean>=3.003683 26   0 M (0.00000000 1.00000000) *
## 
## $trees[[12]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 405 B (0.55592105 0.44407895)  
##     2) symmetry_worst< -1.529201 769 301 B (0.60858257 0.39141743)  
##       4) smoothness_worst< -1.500665 504 164 B (0.67460317 0.32539683)  
##         8) smoothness_mean>=-2.290166 82  10 B (0.87804878 0.12195122)  
##          16) smoothness_mean< -2.172878 76   5 B (0.93421053 0.06578947)  
##            32) compactness_se< -3.64785 56   0 B (1.00000000 0.00000000) *
##            33) compactness_se>=-3.64785 20   5 B (0.75000000 0.25000000)  
##              66) texture_mean< 3.043869 15   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=3.043869 5   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean>=-2.172878 6   1 M (0.16666667 0.83333333)  
##            34) texture_mean< 2.810764 1   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.810764 5   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.290166 422 154 B (0.63507109 0.36492891)  
##          18) compactness_se< -4.704842 31   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-4.704842 391 154 B (0.60613811 0.39386189)  
##            38) symmetry_worst< -1.815934 231  73 B (0.68398268 0.31601732)  
##              76) smoothness_mean< -2.307549 215  59 B (0.72558140 0.27441860) *
##              77) smoothness_mean>=-2.307549 16   2 M (0.12500000 0.87500000) *
##            39) symmetry_worst>=-1.815934 160  79 M (0.49375000 0.50625000)  
##              78) symmetry_worst>=-1.750623 101  32 B (0.68316832 0.31683168) *
##              79) symmetry_worst< -1.750623 59  10 M (0.16949153 0.83050847) *
##       5) smoothness_worst>=-1.500665 265 128 M (0.48301887 0.51698113)  
##        10) texture_worst< 4.1745 19   0 B (1.00000000 0.00000000) *
##        11) texture_worst>=4.1745 246 109 M (0.44308943 0.55691057)  
##          22) texture_worst>=4.355555 208 103 B (0.50480769 0.49519231)  
##            44) texture_mean< 2.929857 67  19 B (0.71641791 0.28358209)  
##              88) texture_mean>=2.856753 35   0 B (1.00000000 0.00000000) *
##              89) texture_mean< 2.856753 32  13 M (0.40625000 0.59375000) *
##            45) texture_mean>=2.929857 141  57 M (0.40425532 0.59574468)  
##              90) texture_mean>=3.039982 75  30 B (0.60000000 0.40000000) *
##              91) texture_mean< 3.039982 66  12 M (0.18181818 0.81818182) *
##          23) texture_worst< 4.355555 38   4 M (0.10526316 0.89473684)  
##            46) compactness_se< -4.21018 2   0 B (1.00000000 0.00000000) *
##            47) compactness_se>=-4.21018 36   2 M (0.05555556 0.94444444)  
##              94) symmetry_worst< -1.952252 4   2 B (0.50000000 0.50000000) *
##              95) symmetry_worst>=-1.952252 32   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.529201 143  39 M (0.27272727 0.72727273)  
##       6) symmetry_worst< -1.294666 97  37 M (0.38144330 0.61855670)  
##        12) symmetry_worst>=-1.49936 57  25 B (0.56140351 0.43859649)  
##          24) texture_mean< 2.794024 16   0 B (1.00000000 0.00000000) *
##          25) texture_mean>=2.794024 41  16 M (0.39024390 0.60975610)  
##            50) compactness_se< -4.218076 9   1 B (0.88888889 0.11111111)  
##             100) texture_worst< 5.204837 8   0 B (1.00000000 0.00000000) *
##             101) texture_worst>=5.204837 1   0 M (0.00000000 1.00000000) *
##            51) compactness_se>=-4.218076 32   8 M (0.25000000 0.75000000)  
##             102) compactness_se>=-2.983317 8   1 B (0.87500000 0.12500000) *
##             103) compactness_se< -2.983317 24   1 M (0.04166667 0.95833333) *
##        13) symmetry_worst< -1.49936 40   5 M (0.12500000 0.87500000)  
##          26) smoothness_mean< -2.22333 14   5 M (0.35714286 0.64285714)  
##            52) texture_mean< 2.96156 4   0 B (1.00000000 0.00000000) *
##            53) texture_mean>=2.96156 10   1 M (0.10000000 0.90000000)  
##             106) smoothness_mean< -2.540124 1   0 B (1.00000000 0.00000000) *
##             107) smoothness_mean>=-2.540124 9   0 M (0.00000000 1.00000000) *
##          27) smoothness_mean>=-2.22333 26   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.294666 46   2 M (0.04347826 0.95652174)  
##        14) compactness_se>=-2.540721 2   1 B (0.50000000 0.50000000)  
##          28) texture_mean< 2.996569 1   0 B (1.00000000 0.00000000) *
##          29) texture_mean>=2.996569 1   0 M (0.00000000 1.00000000) *
##        15) compactness_se< -2.540721 44   1 M (0.02272727 0.97727273)  
##          30) texture_mean>=3.09883 9   1 M (0.11111111 0.88888889)  
##            60) texture_mean< 3.126045 1   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=3.126045 8   0 M (0.00000000 1.00000000) *
##          31) texture_mean< 3.09883 35   0 M (0.00000000 1.00000000) *
## 
## $trees[[13]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 435 B (0.52302632 0.47697368)  
##    2) symmetry_worst< -1.353976 875 401 B (0.54171429 0.45828571)  
##      4) compactness_se< -4.705732 29   0 B (1.00000000 0.00000000) *
##      5) compactness_se>=-4.705732 846 401 B (0.52600473 0.47399527)  
##       10) texture_worst< 4.905415 645 277 B (0.57054264 0.42945736)  
##         20) texture_worst>=4.543638 301  96 B (0.68106312 0.31893688)  
##           40) texture_mean< 3.058002 201  39 B (0.80597015 0.19402985)  
##             80) smoothness_mean< -2.412736 69   4 B (0.94202899 0.05797101) *
##             81) smoothness_mean>=-2.412736 132  35 B (0.73484848 0.26515152) *
##           41) texture_mean>=3.058002 100  43 M (0.43000000 0.57000000)  
##             82) texture_worst>=4.891741 16   0 B (1.00000000 0.00000000) *
##             83) texture_worst< 4.891741 84  27 M (0.32142857 0.67857143) *
##         21) texture_worst< 4.543638 344 163 M (0.47383721 0.52616279)  
##           42) smoothness_worst< -1.451541 287 135 B (0.52961672 0.47038328)  
##             84) texture_mean< 2.758426 52   9 B (0.82692308 0.17307692) *
##             85) texture_mean>=2.758426 235 109 M (0.46382979 0.53617021) *
##           43) smoothness_worst>=-1.451541 57  11 M (0.19298246 0.80701754)  
##             86) texture_worst< 3.781157 5   0 B (1.00000000 0.00000000) *
##             87) texture_worst>=3.781157 52   6 M (0.11538462 0.88461538) *
##       11) texture_worst>=4.905415 201  77 M (0.38308458 0.61691542)  
##         22) texture_mean>=3.166067 111  53 B (0.52252252 0.47747748)  
##           44) texture_mean< 3.321787 60  16 B (0.73333333 0.26666667)  
##             88) smoothness_mean< -2.296246 47   6 B (0.87234043 0.12765957) *
##             89) smoothness_mean>=-2.296246 13   3 M (0.23076923 0.76923077) *
##           45) texture_mean>=3.321787 51  14 M (0.27450980 0.72549020)  
##             90) texture_mean>=3.336125 22  10 B (0.54545455 0.45454545) *
##             91) texture_mean< 3.336125 29   2 M (0.06896552 0.93103448) *
##         23) texture_mean< 3.166067 90  19 M (0.21111111 0.78888889)  
##           46) symmetry_worst>=-1.737511 38  17 M (0.44736842 0.55263158)  
##             92) symmetry_worst< -1.71462 10   0 B (1.00000000 0.00000000) *
##             93) symmetry_worst>=-1.71462 28   7 M (0.25000000 0.75000000) *
##           47) symmetry_worst< -1.737511 52   2 M (0.03846154 0.96153846)  
##             94) smoothness_worst>=-1.433747 2   0 B (1.00000000 0.00000000) *
##             95) smoothness_worst< -1.433747 50   0 M (0.00000000 1.00000000) *
##    3) symmetry_worst>=-1.353976 37   3 M (0.08108108 0.91891892)  
##      6) texture_worst< 4.34069 6   3 B (0.50000000 0.50000000)  
##       12) compactness_se< -3.322677 3   0 B (1.00000000 0.00000000) *
##       13) compactness_se>=-3.322677 3   0 M (0.00000000 1.00000000) *
##      7) texture_worst>=4.34069 31   0 M (0.00000000 1.00000000) *
## 
## $trees[[14]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 430 B (0.52850877 0.47149123)  
##     2) texture_worst< 4.905415 706 287 B (0.59348442 0.40651558)  
##       4) compactness_se< -3.678758 396 127 B (0.67929293 0.32070707)  
##         8) symmetry_worst< -1.966052 87  10 B (0.88505747 0.11494253)  
##          16) symmetry_worst>=-2.469594 82   5 B (0.93902439 0.06097561)  
##            32) texture_worst< 4.614874 70   0 B (1.00000000 0.00000000) *
##            33) texture_worst>=4.614874 12   5 B (0.58333333 0.41666667)  
##              66) texture_mean>=2.955146 7   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 2.955146 5   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst< -2.469594 5   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst>=-1.966052 309 117 B (0.62135922 0.37864078)  
##          18) smoothness_mean>=-2.290664 95  15 B (0.84210526 0.15789474)  
##            36) smoothness_worst< -1.414436 87   8 B (0.90804598 0.09195402)  
##              72) smoothness_mean< -2.089616 84   5 B (0.94047619 0.05952381) *
##              73) smoothness_mean>=-2.089616 3   0 M (0.00000000 1.00000000) *
##            37) smoothness_worst>=-1.414436 8   1 M (0.12500000 0.87500000)  
##              74) texture_mean< 2.760626 1   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=2.760626 7   0 M (0.00000000 1.00000000) *
##          19) smoothness_mean< -2.290664 214 102 B (0.52336449 0.47663551)  
##            38) compactness_se>=-3.93685 63  13 B (0.79365079 0.20634921)  
##              76) smoothness_mean< -2.296604 55   5 B (0.90909091 0.09090909) *
##              77) smoothness_mean>=-2.296604 8   0 M (0.00000000 1.00000000) *
##            39) compactness_se< -3.93685 151  62 M (0.41059603 0.58940397)  
##              78) texture_mean< 2.824054 20   1 B (0.95000000 0.05000000) *
##              79) texture_mean>=2.824054 131  43 M (0.32824427 0.67175573) *
##       5) compactness_se>=-3.678758 310 150 M (0.48387097 0.51612903)  
##        10) compactness_se>=-3.494301 245 107 B (0.56326531 0.43673469)  
##          20) texture_mean< 3.133914 231  93 B (0.59740260 0.40259740)  
##            40) smoothness_worst< -1.395608 214  78 B (0.63551402 0.36448598)  
##              80) smoothness_worst>=-1.723213 201  66 B (0.67164179 0.32835821) *
##              81) smoothness_worst< -1.723213 13   1 M (0.07692308 0.92307692) *
##            41) smoothness_worst>=-1.395608 17   2 M (0.11764706 0.88235294)  
##              82) texture_mean< 2.712316 2   0 B (1.00000000 0.00000000) *
##              83) texture_mean>=2.712316 15   0 M (0.00000000 1.00000000) *
##          21) texture_mean>=3.133914 14   0 M (0.00000000 1.00000000) *
##        11) compactness_se< -3.494301 65  12 M (0.18461538 0.81538462)  
##          22) smoothness_mean< -2.505642 6   0 B (1.00000000 0.00000000) *
##          23) smoothness_mean>=-2.505642 59   6 M (0.10169492 0.89830508)  
##            46) texture_worst< 4.248666 8   4 B (0.50000000 0.50000000)  
##              92) compactness_se< -3.503762 4   0 B (1.00000000 0.00000000) *
##              93) compactness_se>=-3.503762 4   0 M (0.00000000 1.00000000) *
##            47) texture_worst>=4.248666 51   2 M (0.03921569 0.96078431)  
##              94) smoothness_worst< -1.582431 6   2 M (0.33333333 0.66666667) *
##              95) smoothness_worst>=-1.582431 45   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.905415 206  63 M (0.30582524 0.69417476)  
##       6) smoothness_mean< -2.336091 119  48 M (0.40336134 0.59663866)  
##        12) symmetry_worst>=-1.857231 55  20 B (0.63636364 0.36363636)  
##          24) texture_mean< 3.386045 49  14 B (0.71428571 0.28571429)  
##            48) smoothness_mean< -2.411583 27   3 B (0.88888889 0.11111111)  
##              96) texture_worst< 5.083395 22   0 B (1.00000000 0.00000000) *
##              97) texture_worst>=5.083395 5   2 M (0.40000000 0.60000000) *
##            49) smoothness_mean>=-2.411583 22  11 B (0.50000000 0.50000000)  
##              98) texture_mean>=3.217018 13   2 B (0.84615385 0.15384615) *
##              99) texture_mean< 3.217018 9   0 M (0.00000000 1.00000000) *
##          25) texture_mean>=3.386045 6   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -1.857231 64  13 M (0.20312500 0.79687500)  
##          26) symmetry_worst< -2.041024 30  13 M (0.43333333 0.56666667)  
##            52) texture_mean< 3.321787 9   0 B (1.00000000 0.00000000) *
##            53) texture_mean>=3.321787 21   4 M (0.19047619 0.80952381)  
##             106) texture_mean>=3.337721 4   0 B (1.00000000 0.00000000) *
##             107) texture_mean< 3.337721 17   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-2.041024 34   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean>=-2.336091 87  15 M (0.17241379 0.82758621)  
##        14) symmetry_worst< -2.207988 10   2 B (0.80000000 0.20000000)  
##          28) texture_mean>=3.253685 8   0 B (1.00000000 0.00000000) *
##          29) texture_mean< 3.253685 2   0 M (0.00000000 1.00000000) *
##        15) symmetry_worst>=-2.207988 77   7 M (0.09090909 0.90909091)  
##          30) smoothness_mean>=-2.094359 4   1 B (0.75000000 0.25000000)  
##            60) texture_mean>=3.139524 3   0 B (1.00000000 0.00000000) *
##            61) texture_mean< 3.139524 1   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean< -2.094359 73   4 M (0.05479452 0.94520548)  
##            62) compactness_se< -4.040144 7   3 B (0.57142857 0.42857143)  
##             124) texture_mean>=3.023605 4   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 3.023605 3   0 M (0.00000000 1.00000000) *
##            63) compactness_se>=-4.040144 66   0 M (0.00000000 1.00000000) *
## 
## $trees[[15]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 431 B (0.52741228 0.47258772)  
##     2) compactness_se< -3.675038 494 165 B (0.66599190 0.33400810)  
##       4) texture_worst< 4.914145 404 105 B (0.74009901 0.25990099)  
##         8) symmetry_worst< -1.966052 88   6 B (0.93181818 0.06818182)  
##          16) texture_worst< 4.738904 76   2 B (0.97368421 0.02631579)  
##            32) compactness_se>=-4.459681 51   0 B (1.00000000 0.00000000) *
##            33) compactness_se< -4.459681 25   2 B (0.92000000 0.08000000)  
##              66) compactness_se< -4.50262 24   1 B (0.95833333 0.04166667) *
##              67) compactness_se>=-4.50262 1   0 M (0.00000000 1.00000000) *
##          17) texture_worst>=4.738904 12   4 B (0.66666667 0.33333333)  
##            34) texture_mean>=2.977147 8   0 B (1.00000000 0.00000000) *
##            35) texture_mean< 2.977147 4   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst>=-1.966052 316  99 B (0.68670886 0.31329114)  
##          18) symmetry_worst>=-1.959426 306  89 B (0.70915033 0.29084967)  
##            36) smoothness_worst< -1.485467 219  45 B (0.79452055 0.20547945)  
##              72) smoothness_mean>=-2.330779 62   0 B (1.00000000 0.00000000) *
##              73) smoothness_mean< -2.330779 157  45 B (0.71337580 0.28662420) *
##            37) smoothness_worst>=-1.485467 87  43 M (0.49425287 0.50574713)  
##              74) smoothness_worst>=-1.403628 9   0 B (1.00000000 0.00000000) *
##              75) smoothness_worst< -1.403628 78  34 M (0.43589744 0.56410256) *
##          19) symmetry_worst< -1.959426 10   0 M (0.00000000 1.00000000) *
##       5) texture_worst>=4.914145 90  30 M (0.33333333 0.66666667)  
##        10) symmetry_worst>=-1.857231 52  25 B (0.51923077 0.48076923)  
##          20) smoothness_mean< -2.365266 25   5 B (0.80000000 0.20000000)  
##            40) symmetry_worst< -1.592735 20   1 B (0.95000000 0.05000000)  
##              80) symmetry_worst< -1.695215 14   0 B (1.00000000 0.00000000) *
##              81) symmetry_worst>=-1.695215 6   1 B (0.83333333 0.16666667) *
##            41) symmetry_worst>=-1.592735 5   1 M (0.20000000 0.80000000)  
##              82) texture_mean< 3.202332 1   0 B (1.00000000 0.00000000) *
##              83) texture_mean>=3.202332 4   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean>=-2.365266 27   7 M (0.25925926 0.74074074)  
##            42) compactness_se< -4.512898 4   0 B (1.00000000 0.00000000) *
##            43) compactness_se>=-4.512898 23   3 M (0.13043478 0.86956522)  
##              86) symmetry_worst< -1.803493 2   0 B (1.00000000 0.00000000) *
##              87) symmetry_worst>=-1.803493 21   1 M (0.04761905 0.95238095) *
##        11) symmetry_worst< -1.857231 38   3 M (0.07894737 0.92105263)  
##          22) texture_mean>=3.361554 2   0 B (1.00000000 0.00000000) *
##          23) texture_mean< 3.361554 36   1 M (0.02777778 0.97222222)  
##            46) smoothness_worst< -1.624645 1   0 B (1.00000000 0.00000000) *
##            47) smoothness_worst>=-1.624645 35   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-3.675038 418 152 M (0.36363636 0.63636364)  
##       6) smoothness_worst< -1.615894 48  11 B (0.77083333 0.22916667)  
##        12) smoothness_worst>=-1.723213 39   4 B (0.89743590 0.10256410)  
##          24) smoothness_mean< -2.337942 37   2 B (0.94594595 0.05405405)  
##            48) compactness_se>=-3.5866 34   0 B (1.00000000 0.00000000) *
##            49) compactness_se< -3.5866 3   1 M (0.33333333 0.66666667)  
##              98) texture_mean>=3.008041 1   0 B (1.00000000 0.00000000) *
##              99) texture_mean< 3.008041 2   0 M (0.00000000 1.00000000) *
##          25) smoothness_mean>=-2.337942 2   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst< -1.723213 9   2 M (0.22222222 0.77777778)  
##          26) compactness_se< -3.013033 2   0 B (1.00000000 0.00000000) *
##          27) compactness_se>=-3.013033 7   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.615894 370 115 M (0.31081081 0.68918919)  
##        14) smoothness_worst>=-1.568787 276 105 M (0.38043478 0.61956522)  
##          28) symmetry_worst< -2.184494 40  11 B (0.72500000 0.27500000)  
##            56) smoothness_mean>=-2.443464 33   4 B (0.87878788 0.12121212)  
##             112) smoothness_mean< -2.272702 31   2 B (0.93548387 0.06451613) *
##             113) smoothness_mean>=-2.272702 2   0 M (0.00000000 1.00000000) *
##            57) smoothness_mean< -2.443464 7   0 M (0.00000000 1.00000000) *
##          29) symmetry_worst>=-2.184494 236  76 M (0.32203390 0.67796610)  
##            58) smoothness_mean< -2.414471 26   7 B (0.73076923 0.26923077)  
##             116) smoothness_worst< -1.485474 17   0 B (1.00000000 0.00000000) *
##             117) smoothness_worst>=-1.485474 9   2 M (0.22222222 0.77777778) *
##            59) smoothness_mean>=-2.414471 210  57 M (0.27142857 0.72857143)  
##             118) compactness_se>=-3.494301 157  56 M (0.35668790 0.64331210) *
##             119) compactness_se< -3.494301 53   1 M (0.01886792 0.98113208) *
##        15) smoothness_worst< -1.568787 94  10 M (0.10638298 0.89361702)  
##          30) smoothness_mean< -2.478608 2   0 B (1.00000000 0.00000000) *
##          31) smoothness_mean>=-2.478608 92   8 M (0.08695652 0.91304348)  
##            62) texture_worst>=4.493334 29   8 M (0.27586207 0.72413793)  
##             124) texture_mean< 3.025285 6   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=3.025285 23   2 M (0.08695652 0.91304348) *
##            63) texture_worst< 4.493334 63   0 M (0.00000000 1.00000000) *
## 
## $trees[[16]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 424 B (0.53508772 0.46491228)  
##     2) texture_worst< 5.073292 838 366 B (0.56324582 0.43675418)  
##       4) smoothness_worst< -1.637109 52   7 B (0.86538462 0.13461538)  
##         8) smoothness_worst>=-1.723213 45   3 B (0.93333333 0.06666667)  
##          16) texture_mean< 3.197634 44   2 B (0.95454545 0.04545455)  
##            32) texture_worst< 4.555602 35   0 B (1.00000000 0.00000000) *
##            33) texture_worst>=4.555602 9   2 B (0.77777778 0.22222222)  
##              66) texture_mean>=3.000839 7   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 3.000839 2   0 M (0.00000000 1.00000000) *
##          17) texture_mean>=3.197634 1   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst< -1.723213 7   3 M (0.42857143 0.57142857)  
##          18) smoothness_mean< -2.637023 3   0 B (1.00000000 0.00000000) *
##          19) smoothness_mean>=-2.637023 4   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst>=-1.637109 786 359 B (0.54325700 0.45674300)  
##        10) compactness_se< -3.619913 461 180 B (0.60954447 0.39045553)  
##          20) smoothness_mean>=-2.313143 173  47 B (0.72832370 0.27167630)  
##            40) smoothness_mean< -2.21595 141  28 B (0.80141844 0.19858156)  
##              80) symmetry_worst< -1.354965 137  24 B (0.82481752 0.17518248) *
##              81) symmetry_worst>=-1.354965 4   0 M (0.00000000 1.00000000) *
##            41) smoothness_mean>=-2.21595 32  13 M (0.40625000 0.59375000)  
##              82) texture_worst< 4.482045 15   3 B (0.80000000 0.20000000) *
##              83) texture_worst>=4.482045 17   1 M (0.05882353 0.94117647) *
##          21) smoothness_mean< -2.313143 288 133 B (0.53819444 0.46180556)  
##            42) compactness_se>=-3.93685 72  17 B (0.76388889 0.23611111)  
##              84) compactness_se< -3.821057 38   2 B (0.94736842 0.05263158) *
##              85) compactness_se>=-3.821057 34  15 B (0.55882353 0.44117647) *
##            43) compactness_se< -3.93685 216 100 M (0.46296296 0.53703704)  
##              86) compactness_se< -3.996495 183  83 B (0.54644809 0.45355191) *
##              87) compactness_se>=-3.996495 33   0 M (0.00000000 1.00000000) *
##        11) compactness_se>=-3.619913 325 146 M (0.44923077 0.55076923)  
##          22) compactness_se>=-3.3557 165  64 B (0.61212121 0.38787879)  
##            44) texture_mean< 3.038537 117  30 B (0.74358974 0.25641026)  
##              88) smoothness_worst< -1.430558 87  11 B (0.87356322 0.12643678) *
##              89) smoothness_worst>=-1.430558 30  11 M (0.36666667 0.63333333) *
##            45) texture_mean>=3.038537 48  14 M (0.29166667 0.70833333)  
##              90) texture_worst>=4.982753 16   2 B (0.87500000 0.12500000) *
##              91) texture_worst< 4.982753 32   0 M (0.00000000 1.00000000) *
##          23) compactness_se< -3.3557 160  45 M (0.28125000 0.71875000)  
##            46) texture_mean>=3.039982 57  24 B (0.57894737 0.42105263)  
##              92) smoothness_mean>=-2.353373 37   6 B (0.83783784 0.16216216) *
##              93) smoothness_mean< -2.353373 20   2 M (0.10000000 0.90000000) *
##            47) texture_mean< 3.039982 103  12 M (0.11650485 0.88349515)  
##              94) smoothness_mean>=-2.144733 4   1 B (0.75000000 0.25000000) *
##              95) smoothness_mean< -2.144733 99   9 M (0.09090909 0.90909091) *
##     3) texture_worst>=5.073292 74  16 M (0.21621622 0.78378378)  
##       6) symmetry_worst< -2.065229 18   8 B (0.55555556 0.44444444)  
##        12) compactness_se< -3.400535 10   0 B (1.00000000 0.00000000) *
##        13) compactness_se>=-3.400535 8   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-2.065229 56   6 M (0.10714286 0.89285714)  
##        14) texture_mean< 2.963622 2   0 B (1.00000000 0.00000000) *
##        15) texture_mean>=2.963622 54   4 M (0.07407407 0.92592593)  
##          30) texture_mean>=3.33683 20   4 M (0.20000000 0.80000000)  
##            60) texture_mean< 3.340739 2   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=3.340739 18   2 M (0.11111111 0.88888889)  
##             122) symmetry_worst>=-1.729382 4   2 B (0.50000000 0.50000000) *
##             123) symmetry_worst< -1.729382 14   0 M (0.00000000 1.00000000) *
##          31) texture_mean< 3.33683 34   0 M (0.00000000 1.00000000) *
## 
## $trees[[17]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 447 M (0.49013158 0.50986842)  
##     2) texture_worst< 4.389172 250  94 B (0.62400000 0.37600000)  
##       4) compactness_se>=-3.426516 85  12 B (0.85882353 0.14117647)  
##         8) smoothness_mean< -2.149436 69   3 B (0.95652174 0.04347826)  
##          16) smoothness_worst< -1.407433 68   2 B (0.97058824 0.02941176)  
##            32) symmetry_worst< -1.001713 67   1 B (0.98507463 0.01492537)  
##              64) compactness_se< -2.977407 48   0 B (1.00000000 0.00000000) *
##              65) compactness_se>=-2.977407 19   1 B (0.94736842 0.05263158) *
##            33) symmetry_worst>=-1.001713 1   0 M (0.00000000 1.00000000) *
##          17) smoothness_worst>=-1.407433 1   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean>=-2.149436 16   7 M (0.43750000 0.56250000)  
##          18) smoothness_worst>=-1.329787 7   0 B (1.00000000 0.00000000) *
##          19) smoothness_worst< -1.329787 9   0 M (0.00000000 1.00000000) *
##       5) compactness_se< -3.426516 165  82 B (0.50303030 0.49696970)  
##        10) compactness_se< -4.288174 25   0 B (1.00000000 0.00000000) *
##        11) compactness_se>=-4.288174 140  58 M (0.41428571 0.58571429)  
##          22) smoothness_worst>=-1.600324 105  49 B (0.53333333 0.46666667)  
##            44) compactness_se< -3.438744 92  36 B (0.60869565 0.39130435)  
##              88) compactness_se>=-3.532908 18   0 B (1.00000000 0.00000000) *
##              89) compactness_se< -3.532908 74  36 B (0.51351351 0.48648649) *
##            45) compactness_se>=-3.438744 13   0 M (0.00000000 1.00000000) *
##          23) smoothness_worst< -1.600324 35   2 M (0.05714286 0.94285714)  
##            46) texture_mean< 2.732742 2   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.732742 33   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.389172 662 291 M (0.43957704 0.56042296)  
##       6) symmetry_worst< -1.354965 615 284 M (0.46178862 0.53821138)  
##        12) compactness_se>=-4.49319 518 259 B (0.50000000 0.50000000)  
##          24) texture_mean< 2.931727 95  27 B (0.71578947 0.28421053)  
##            48) texture_worst>=4.418221 83  15 B (0.81927711 0.18072289)  
##              96) texture_mean>=2.84315 76   8 B (0.89473684 0.10526316) *
##              97) texture_mean< 2.84315 7   0 M (0.00000000 1.00000000) *
##            49) texture_worst< 4.418221 12   0 M (0.00000000 1.00000000) *
##          25) texture_mean>=2.931727 423 191 M (0.45153664 0.54846336)  
##            50) symmetry_worst< -1.776275 218  96 B (0.55963303 0.44036697)  
##             100) symmetry_worst>=-1.925345 76  20 B (0.73684211 0.26315789) *
##             101) symmetry_worst< -1.925345 142  66 M (0.46478873 0.53521127) *
##            51) symmetry_worst>=-1.776275 205  69 M (0.33658537 0.66341463)  
##             102) compactness_se>=-2.749072 11   0 B (1.00000000 0.00000000) *
##             103) compactness_se< -2.749072 194  58 M (0.29896907 0.70103093) *
##        13) compactness_se< -4.49319 97  25 M (0.25773196 0.74226804)  
##          26) compactness_se< -4.705732 8   0 B (1.00000000 0.00000000) *
##          27) compactness_se>=-4.705732 89  17 M (0.19101124 0.80898876)  
##            54) texture_worst>=5.153351 5   0 B (1.00000000 0.00000000) *
##            55) texture_worst< 5.153351 84  12 M (0.14285714 0.85714286)  
##             110) texture_mean< 2.841101 2   0 B (1.00000000 0.00000000) *
##             111) texture_mean>=2.841101 82  10 M (0.12195122 0.87804878) *
##       7) symmetry_worst>=-1.354965 47   7 M (0.14893617 0.85106383)  
##        14) smoothness_worst< -1.49848 15   7 M (0.46666667 0.53333333)  
##          28) smoothness_worst>=-1.545975 7   0 B (1.00000000 0.00000000) *
##          29) smoothness_worst< -1.545975 8   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.49848 32   0 M (0.00000000 1.00000000) *
## 
## $trees[[18]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 443 B (0.51425439 0.48574561)  
##     2) smoothness_worst>=-1.434633 119  33 B (0.72268908 0.27731092)  
##       4) texture_worst< 5.03129 111  25 B (0.77477477 0.22522523)  
##         8) texture_worst>=4.624204 63   4 B (0.93650794 0.06349206)  
##          16) symmetry_worst< -1.416447 61   2 B (0.96721311 0.03278689)  
##            32) compactness_se>=-4.290135 60   1 B (0.98333333 0.01666667)  
##              64) texture_worst>=4.769176 51   0 B (1.00000000 0.00000000) *
##              65) texture_worst< 4.769176 9   1 B (0.88888889 0.11111111) *
##            33) compactness_se< -4.290135 1   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst>=-1.416447 2   0 M (0.00000000 1.00000000) *
##         9) texture_worst< 4.624204 48  21 B (0.56250000 0.43750000)  
##          18) texture_mean< 2.950291 36   9 B (0.75000000 0.25000000)  
##            36) texture_worst< 4.30106 15   0 B (1.00000000 0.00000000) *
##            37) texture_worst>=4.30106 21   9 B (0.57142857 0.42857143)  
##              74) texture_worst>=4.375462 13   1 B (0.92307692 0.07692308) *
##              75) texture_worst< 4.375462 8   0 M (0.00000000 1.00000000) *
##          19) texture_mean>=2.950291 12   0 M (0.00000000 1.00000000) *
##       5) texture_worst>=5.03129 8   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst< -1.434633 793 383 M (0.48297604 0.51702396)  
##       6) symmetry_worst< -2.048468 140  44 B (0.68571429 0.31428571)  
##        12) smoothness_worst< -1.597563 44   4 B (0.90909091 0.09090909)  
##          24) smoothness_worst>=-1.692286 38   0 B (1.00000000 0.00000000) *
##          25) smoothness_worst< -1.692286 6   2 M (0.33333333 0.66666667)  
##            50) texture_mean< 3.03091 1   0 B (1.00000000 0.00000000) *
##            51) texture_mean>=3.03091 5   1 M (0.20000000 0.80000000)  
##             102) smoothness_mean< -2.690023 1   0 B (1.00000000 0.00000000) *
##             103) smoothness_mean>=-2.690023 4   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst>=-1.597563 96  40 B (0.58333333 0.41666667)  
##          26) smoothness_worst>=-1.595503 85  29 B (0.65882353 0.34117647)  
##            52) texture_worst< 4.605004 28   1 B (0.96428571 0.03571429)  
##             104) smoothness_mean< -2.178638 27   0 B (1.00000000 0.00000000) *
##             105) smoothness_mean>=-2.178638 1   0 M (0.00000000 1.00000000) *
##            53) texture_worst>=4.605004 57  28 B (0.50877193 0.49122807)  
##             106) texture_worst>=4.755481 35   9 B (0.74285714 0.25714286) *
##             107) texture_worst< 4.755481 22   3 M (0.13636364 0.86363636) *
##          27) smoothness_worst< -1.595503 11   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-2.048468 653 287 M (0.43950995 0.56049005)  
##        14) compactness_se>=-2.744014 21   1 B (0.95238095 0.04761905)  
##          28) texture_mean< 3.108758 20   0 B (1.00000000 0.00000000) *
##          29) texture_mean>=3.108758 1   0 M (0.00000000 1.00000000) *
##        15) compactness_se< -2.744014 632 267 M (0.42246835 0.57753165)  
##          30) smoothness_worst< -1.657234 11   0 B (1.00000000 0.00000000) *
##          31) smoothness_worst>=-1.657234 621 256 M (0.41223833 0.58776167)  
##            62) smoothness_mean>=-2.27497 119  50 B (0.57983193 0.42016807)  
##             124) symmetry_worst< -1.532237 88  22 B (0.75000000 0.25000000) *
##             125) symmetry_worst>=-1.532237 31   3 M (0.09677419 0.90322581) *
##            63) smoothness_mean< -2.27497 502 187 M (0.37250996 0.62749004)  
##             126) texture_mean< 2.963467 276 127 M (0.46014493 0.53985507) *
##             127) texture_mean>=2.963467 226  60 M (0.26548673 0.73451327) *
## 
## $trees[[19]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 419 B (0.54057018 0.45942982)  
##     2) texture_mean< 2.960364 416 152 B (0.63461538 0.36538462)  
##       4) compactness_se< -3.955455 198  46 B (0.76767677 0.23232323)  
##         8) smoothness_worst< -1.555669 61   1 B (0.98360656 0.01639344)  
##          16) smoothness_mean< -2.306694 60   0 B (1.00000000 0.00000000) *
##          17) smoothness_mean>=-2.306694 1   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst>=-1.555669 137  45 B (0.67153285 0.32846715)  
##          18) smoothness_worst>=-1.538735 96  10 B (0.89583333 0.10416667)  
##            36) symmetry_worst< -1.33108 94   8 B (0.91489362 0.08510638)  
##              72) smoothness_worst< -1.479154 66   1 B (0.98484848 0.01515152) *
##              73) smoothness_worst>=-1.479154 28   7 B (0.75000000 0.25000000) *
##            37) symmetry_worst>=-1.33108 2   0 M (0.00000000 1.00000000) *
##          19) smoothness_worst< -1.538735 41   6 M (0.14634146 0.85365854)  
##            38) smoothness_mean>=-2.367846 6   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean< -2.367846 35   0 M (0.00000000 1.00000000) *
##       5) compactness_se>=-3.955455 218 106 B (0.51376147 0.48623853)  
##        10) compactness_se>=-3.93685 202  90 B (0.55445545 0.44554455)  
##          20) symmetry_worst< -1.36527 181  72 B (0.60220994 0.39779006)  
##            40) compactness_se>=-3.344528 42   1 B (0.97619048 0.02380952)  
##              80) smoothness_mean< -2.044552 38   0 B (1.00000000 0.00000000) *
##              81) smoothness_mean>=-2.044552 4   1 B (0.75000000 0.25000000) *
##            41) compactness_se< -3.344528 139  68 M (0.48920863 0.51079137)  
##              82) smoothness_worst>=-1.571881 87  32 B (0.63218391 0.36781609) *
##              83) smoothness_worst< -1.571881 52  13 M (0.25000000 0.75000000) *
##          21) symmetry_worst>=-1.36527 21   3 M (0.14285714 0.85714286)  
##            42) smoothness_mean>=-2.036051 2   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean< -2.036051 19   1 M (0.05263158 0.94736842)  
##              86) compactness_se>=-2.588521 1   0 B (1.00000000 0.00000000) *
##              87) compactness_se< -2.588521 18   0 M (0.00000000 1.00000000) *
##        11) compactness_se< -3.93685 16   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.960364 496 229 M (0.46169355 0.53830645)  
##       6) smoothness_worst< -1.637109 31   7 B (0.77419355 0.22580645)  
##        12) compactness_se< -3.004445 23   1 B (0.95652174 0.04347826)  
##          24) texture_mean< 3.212554 22   0 B (1.00000000 0.00000000) *
##          25) texture_mean>=3.212554 1   0 M (0.00000000 1.00000000) *
##        13) compactness_se>=-3.004445 8   2 M (0.25000000 0.75000000)  
##          26) texture_mean< 3.076827 2   0 B (1.00000000 0.00000000) *
##          27) texture_mean>=3.076827 6   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.637109 465 205 M (0.44086022 0.55913978)  
##        14) smoothness_mean>=-2.468288 394 190 M (0.48223350 0.51776650)  
##          28) smoothness_worst< -1.584838 48  11 B (0.77083333 0.22916667)  
##            56) symmetry_worst< -1.538661 41   4 B (0.90243902 0.09756098)  
##             112) compactness_se< -2.890796 31   0 B (1.00000000 0.00000000) *
##             113) compactness_se>=-2.890796 10   4 B (0.60000000 0.40000000) *
##            57) symmetry_worst>=-1.538661 7   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst>=-1.584838 346 153 M (0.44219653 0.55780347)  
##            58) texture_worst>=4.755169 194  88 B (0.54639175 0.45360825)  
##             116) texture_worst< 4.905415 79  14 B (0.82278481 0.17721519) *
##             117) texture_worst>=4.905415 115  41 M (0.35652174 0.64347826) *
##            59) texture_worst< 4.755169 152  47 M (0.30921053 0.69078947)  
##             118) symmetry_worst>=-1.606972 53  21 B (0.60377358 0.39622642) *
##             119) symmetry_worst< -1.606972 99  15 M (0.15151515 0.84848485) *
##        15) smoothness_mean< -2.468288 71  15 M (0.21126761 0.78873239)  
##          30) symmetry_worst< -2.010076 20  10 B (0.50000000 0.50000000)  
##            60) compactness_se< -3.542387 10   0 B (1.00000000 0.00000000) *
##            61) compactness_se>=-3.542387 10   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-2.010076 51   5 M (0.09803922 0.90196078)  
##            62) compactness_se>=-2.927099 2   0 B (1.00000000 0.00000000) *
##            63) compactness_se< -2.927099 49   3 M (0.06122449 0.93877551)  
##             126) smoothness_mean< -2.579222 1   0 B (1.00000000 0.00000000) *
##             127) smoothness_mean>=-2.579222 48   2 M (0.04166667 0.95833333) *
## 
## $trees[[20]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 411 B (0.54934211 0.45065789)  
##     2) smoothness_mean< -2.423454 259  78 B (0.69884170 0.30115830)  
##       4) smoothness_mean>=-2.441446 60   3 B (0.95000000 0.05000000)  
##         8) smoothness_mean< -2.425205 54   1 B (0.98148148 0.01851852)  
##          16) symmetry_worst< -1.496954 46   0 B (1.00000000 0.00000000) *
##          17) symmetry_worst>=-1.496954 8   1 B (0.87500000 0.12500000)  
##            34) texture_mean< 2.97943 7   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.97943 1   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean>=-2.425205 6   2 B (0.66666667 0.33333333)  
##          18) texture_mean< 3.032025 4   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=3.032025 2   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean< -2.441446 199  75 B (0.62311558 0.37688442)  
##        10) smoothness_mean< -2.444322 184  60 B (0.67391304 0.32608696)  
##          20) compactness_se>=-4.285626 107  22 B (0.79439252 0.20560748)  
##            40) symmetry_worst>=-2.218277 93  11 B (0.88172043 0.11827957)  
##              80) texture_mean< 3.080067 59   1 B (0.98305085 0.01694915) *
##              81) texture_mean>=3.080067 34  10 B (0.70588235 0.29411765) *
##            41) symmetry_worst< -2.218277 14   3 M (0.21428571 0.78571429)  
##              82) smoothness_mean< -2.490273 3   0 B (1.00000000 0.00000000) *
##              83) smoothness_mean>=-2.490273 11   0 M (0.00000000 1.00000000) *
##          21) compactness_se< -4.285626 77  38 B (0.50649351 0.49350649)  
##            42) symmetry_worst< -1.874628 24   3 B (0.87500000 0.12500000)  
##              84) smoothness_worst< -1.552639 20   0 B (1.00000000 0.00000000) *
##              85) smoothness_worst>=-1.552639 4   1 M (0.25000000 0.75000000) *
##            43) symmetry_worst>=-1.874628 53  18 M (0.33962264 0.66037736)  
##              86) smoothness_worst>=-1.548341 11   0 B (1.00000000 0.00000000) *
##              87) smoothness_worst< -1.548341 42   7 M (0.16666667 0.83333333) *
##        11) smoothness_mean>=-2.444322 15   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.423454 653 320 M (0.49004594 0.50995406)  
##       6) symmetry_worst< -2.207988 45   4 B (0.91111111 0.08888889)  
##        12) symmetry_worst>=-2.923662 43   2 B (0.95348837 0.04651163)  
##          24) smoothness_worst>=-1.596418 40   0 B (1.00000000 0.00000000) *
##          25) smoothness_worst< -1.596418 3   1 M (0.33333333 0.66666667)  
##            50) texture_mean>=2.905778 1   0 B (1.00000000 0.00000000) *
##            51) texture_mean< 2.905778 2   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -2.923662 2   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-2.207988 608 279 M (0.45888158 0.54111842)  
##        14) compactness_se< -3.955455 199  80 B (0.59798995 0.40201005)  
##          28) compactness_se>=-4.098353 93  16 B (0.82795699 0.17204301)  
##            56) symmetry_worst< -1.449852 85   9 B (0.89411765 0.10588235)  
##             112) smoothness_worst< -1.425761 79   4 B (0.94936709 0.05063291) *
##             113) smoothness_worst>=-1.425761 6   1 M (0.16666667 0.83333333) *
##            57) symmetry_worst>=-1.449852 8   1 M (0.12500000 0.87500000)  
##             114) texture_mean< 2.856065 1   0 B (1.00000000 0.00000000) *
##             115) texture_mean>=2.856065 7   0 M (0.00000000 1.00000000) *
##          29) compactness_se< -4.098353 106  42 M (0.39622642 0.60377358)  
##            58) compactness_se< -4.557422 19   1 B (0.94736842 0.05263158)  
##             116) smoothness_mean>=-2.40064 18   0 B (1.00000000 0.00000000) *
##             117) smoothness_mean< -2.40064 1   0 M (0.00000000 1.00000000) *
##            59) compactness_se>=-4.557422 87  24 M (0.27586207 0.72413793)  
##             118) texture_worst< 4.592857 50  22 M (0.44000000 0.56000000) *
##             119) texture_worst>=4.592857 37   2 M (0.05405405 0.94594595) *
##        15) compactness_se>=-3.955455 409 160 M (0.39119804 0.60880196)  
##          30) smoothness_mean< -2.323555 156  75 B (0.51923077 0.48076923)  
##            60) smoothness_worst>=-1.485073 61  11 B (0.81967213 0.18032787)  
##             120) smoothness_mean>=-2.379248 51   4 B (0.92156863 0.07843137) *
##             121) smoothness_mean< -2.379248 10   3 M (0.30000000 0.70000000) *
##            61) smoothness_worst< -1.485073 95  31 M (0.32631579 0.67368421)  
##             122) smoothness_worst< -1.520292 65  31 M (0.47692308 0.52307692) *
##             123) smoothness_worst>=-1.520292 30   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean>=-2.323555 253  79 M (0.31225296 0.68774704)  
##            62) smoothness_mean>=-2.229802 124  56 M (0.45161290 0.54838710)  
##             124) symmetry_worst< -1.659152 52  11 B (0.78846154 0.21153846) *
##             125) symmetry_worst>=-1.659152 72  15 M (0.20833333 0.79166667) *
##            63) smoothness_mean< -2.229802 129  23 M (0.17829457 0.82170543)  
##             126) symmetry_worst>=-1.189207 10   3 B (0.70000000 0.30000000) *
##             127) symmetry_worst< -1.189207 119  16 M (0.13445378 0.86554622) *
## 
## $trees[[21]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 380 B (0.58333333 0.41666667)  
##     2) smoothness_worst< -1.501069 522 176 B (0.66283525 0.33716475)  
##       4) smoothness_worst>=-1.53873 177  38 B (0.78531073 0.21468927)  
##         8) smoothness_worst< -1.52382 85   3 B (0.96470588 0.03529412)  
##          16) smoothness_mean< -2.170258 83   1 B (0.98795181 0.01204819)  
##            32) texture_mean< 3.09982 78   0 B (1.00000000 0.00000000) *
##            33) texture_mean>=3.09982 5   1 B (0.80000000 0.20000000)  
##              66) texture_mean>=3.14232 4   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 3.14232 1   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean>=-2.170258 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst>=-1.52382 92  35 B (0.61956522 0.38043478)  
##          18) smoothness_worst>=-1.513695 55   9 B (0.83636364 0.16363636)  
##            36) symmetry_worst>=-2.04207 49   4 B (0.91836735 0.08163265)  
##              72) texture_mean< 3.243452 48   3 B (0.93750000 0.06250000) *
##              73) texture_mean>=3.243452 1   0 M (0.00000000 1.00000000) *
##            37) symmetry_worst< -2.04207 6   1 M (0.16666667 0.83333333)  
##              74) texture_mean< 2.839078 1   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=2.839078 5   0 M (0.00000000 1.00000000) *
##          19) smoothness_worst< -1.513695 37  11 M (0.29729730 0.70270270)  
##            38) smoothness_mean>=-2.290227 7   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean< -2.290227 30   4 M (0.13333333 0.86666667)  
##              78) texture_mean< 2.806562 2   0 B (1.00000000 0.00000000) *
##              79) texture_mean>=2.806562 28   2 M (0.07142857 0.92857143) *
##       5) smoothness_worst< -1.53873 345 138 B (0.60000000 0.40000000)  
##        10) smoothness_worst< -1.556752 272  88 B (0.67647059 0.32352941)  
##          20) smoothness_mean< -2.302636 257  74 B (0.71206226 0.28793774)  
##            40) compactness_se< -3.489046 189  40 B (0.78835979 0.21164021)  
##              80) texture_worst< 4.977713 158  24 B (0.84810127 0.15189873) *
##              81) texture_worst>=4.977713 31  15 M (0.48387097 0.51612903) *
##            41) compactness_se>=-3.489046 68  34 B (0.50000000 0.50000000)  
##              82) texture_mean< 3.076827 47  16 B (0.65957447 0.34042553) *
##              83) texture_mean>=3.076827 21   3 M (0.14285714 0.85714286) *
##          21) smoothness_mean>=-2.302636 15   1 M (0.06666667 0.93333333)  
##            42) compactness_se< -3.929833 1   0 B (1.00000000 0.00000000) *
##            43) compactness_se>=-3.929833 14   0 M (0.00000000 1.00000000) *
##        11) smoothness_worst>=-1.556752 73  23 M (0.31506849 0.68493151)  
##          22) texture_mean>=3.191435 6   0 B (1.00000000 0.00000000) *
##          23) texture_mean< 3.191435 67  17 M (0.25373134 0.74626866)  
##            46) texture_worst< 4.516828 32  15 B (0.53125000 0.46875000)  
##              92) smoothness_mean>=-2.406089 19   5 B (0.73684211 0.26315789) *
##              93) smoothness_mean< -2.406089 13   3 M (0.23076923 0.76923077) *
##            47) texture_worst>=4.516828 35   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.501069 390 186 M (0.47692308 0.52307692)  
##       6) compactness_se< -4.025757 84  22 B (0.73809524 0.26190476)  
##        12) smoothness_mean>=-2.292143 41   3 B (0.92682927 0.07317073)  
##          24) smoothness_mean< -2.21595 33   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean>=-2.21595 8   3 B (0.62500000 0.37500000)  
##            50) texture_mean< 2.88089 4   0 B (1.00000000 0.00000000) *
##            51) texture_mean>=2.88089 4   1 M (0.25000000 0.75000000)  
##             102) symmetry_worst< -1.780237 1   0 B (1.00000000 0.00000000) *
##             103) symmetry_worst>=-1.780237 3   0 M (0.00000000 1.00000000) *
##        13) smoothness_mean< -2.292143 43  19 B (0.55813953 0.44186047)  
##          26) smoothness_mean< -2.403235 8   0 B (1.00000000 0.00000000) *
##          27) smoothness_mean>=-2.403235 35  16 M (0.45714286 0.54285714)  
##            54) smoothness_mean>=-2.351007 25  10 B (0.60000000 0.40000000)  
##             108) smoothness_mean< -2.333927 10   0 B (1.00000000 0.00000000) *
##             109) smoothness_mean>=-2.333927 15   5 M (0.33333333 0.66666667) *
##            55) smoothness_mean< -2.351007 10   1 M (0.10000000 0.90000000)  
##             110) texture_worst< 4.534749 1   0 B (1.00000000 0.00000000) *
##             111) texture_worst>=4.534749 9   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-4.025757 306 124 M (0.40522876 0.59477124)  
##        14) smoothness_worst>=-1.434633 87  30 B (0.65517241 0.34482759)  
##          28) compactness_se>=-3.844947 79  22 B (0.72151899 0.27848101)  
##            56) symmetry_worst< -1.218607 74  17 B (0.77027027 0.22972973)  
##             112) smoothness_worst< -1.393134 52   7 B (0.86538462 0.13461538) *
##             113) smoothness_worst>=-1.393134 22  10 B (0.54545455 0.45454545) *
##            57) symmetry_worst>=-1.218607 5   0 M (0.00000000 1.00000000) *
##          29) compactness_se< -3.844947 8   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst< -1.434633 219  67 M (0.30593607 0.69406393)  
##          30) compactness_se< -3.445472 137  58 M (0.42335766 0.57664234)  
##            60) compactness_se>=-3.535835 20   0 B (1.00000000 0.00000000) *
##            61) compactness_se< -3.535835 117  38 M (0.32478632 0.67521368)  
##             122) smoothness_worst< -1.482502 24   7 B (0.70833333 0.29166667) *
##             123) smoothness_worst>=-1.482502 93  21 M (0.22580645 0.77419355) *
##          31) compactness_se>=-3.445472 82   9 M (0.10975610 0.89024390)  
##            62) compactness_se>=-2.615618 3   0 B (1.00000000 0.00000000) *
##            63) compactness_se< -2.615618 79   6 M (0.07594937 0.92405063)  
##             126) smoothness_mean< -2.361615 9   4 M (0.44444444 0.55555556) *
##             127) smoothness_mean>=-2.361615 70   2 M (0.02857143 0.97142857) *
## 
## $trees[[22]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 409 B (0.55153509 0.44846491)  
##    2) symmetry_worst< -1.201763 886 386 B (0.56433409 0.43566591)  
##      4) compactness_se< -3.987083 285  95 B (0.66666667 0.33333333)  
##        8) smoothness_mean>=-2.290664 59   2 B (0.96610169 0.03389831)  
##         16) texture_worst< 5.040422 57   0 B (1.00000000 0.00000000) *
##         17) texture_worst>=5.040422 2   0 M (0.00000000 1.00000000) *
##        9) smoothness_mean< -2.290664 226  93 B (0.58849558 0.41150442)  
##         18) texture_mean< 2.976294 141  42 B (0.70212766 0.29787234)  
##           36) smoothness_mean< -2.295113 134  35 B (0.73880597 0.26119403)  
##             72) symmetry_worst>=-1.739196 56   5 B (0.91071429 0.08928571) *
##             73) symmetry_worst< -1.739196 78  30 B (0.61538462 0.38461538) *
##           37) smoothness_mean>=-2.295113 7   0 M (0.00000000 1.00000000) *
##         19) texture_mean>=2.976294 85  34 M (0.40000000 0.60000000)  
##           38) symmetry_worst< -2.01934 28   5 B (0.82142857 0.17857143)  
##             76) smoothness_worst< -1.556116 23   1 B (0.95652174 0.04347826) *
##             77) smoothness_worst>=-1.556116 5   1 M (0.20000000 0.80000000) *
##           39) symmetry_worst>=-2.01934 57  11 M (0.19298246 0.80701754)  
##             78) compactness_se< -4.75576 5   0 B (1.00000000 0.00000000) *
##             79) compactness_se>=-4.75576 52   6 M (0.11538462 0.88461538) *
##      5) compactness_se>=-3.987083 601 291 B (0.51580699 0.48419301)  
##       10) compactness_se>=-3.922084 552 252 B (0.54347826 0.45652174)  
##         20) smoothness_mean< -2.2971 343 134 B (0.60932945 0.39067055)  
##           40) texture_worst>=4.066103 312 108 B (0.65384615 0.34615385)  
##             80) texture_worst< 5.003123 267  78 B (0.70786517 0.29213483) *
##             81) texture_worst>=5.003123 45  15 M (0.33333333 0.66666667) *
##           41) texture_worst< 4.066103 31   5 M (0.16129032 0.83870968)  
##             82) texture_mean< 2.699953 5   0 B (1.00000000 0.00000000) *
##             83) texture_mean>=2.699953 26   0 M (0.00000000 1.00000000) *
##         21) smoothness_mean>=-2.2971 209  91 M (0.43540670 0.56459330)  
##           42) compactness_se< -3.011681 187  91 M (0.48663102 0.51336898)  
##             84) compactness_se>=-3.355844 51  10 B (0.80392157 0.19607843) *
##             85) compactness_se< -3.355844 136  50 M (0.36764706 0.63235294) *
##           43) compactness_se>=-3.011681 22   0 M (0.00000000 1.00000000) *
##       11) compactness_se< -3.922084 49  10 M (0.20408163 0.79591837)  
##         22) texture_worst< 4.514719 14   4 B (0.71428571 0.28571429)  
##           44) texture_mean>=2.888377 10   0 B (1.00000000 0.00000000) *
##           45) texture_mean< 2.888377 4   0 M (0.00000000 1.00000000) *
##         23) texture_worst>=4.514719 35   0 M (0.00000000 1.00000000) *
##    3) symmetry_worst>=-1.201763 26   3 M (0.11538462 0.88461538)  
##      6) texture_mean>=3.095841 8   3 M (0.37500000 0.62500000)  
##       12) texture_mean< 3.141437 3   0 B (1.00000000 0.00000000) *
##       13) texture_mean>=3.141437 5   0 M (0.00000000 1.00000000) *
##      7) texture_mean< 3.095841 18   0 M (0.00000000 1.00000000) *
## 
## $trees[[23]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 417 B (0.54276316 0.45723684)  
##     2) compactness_se< -4.720419 29   1 B (0.96551724 0.03448276)  
##       4) symmetry_worst< -1.170399 28   0 B (1.00000000 0.00000000) *
##       5) symmetry_worst>=-1.170399 1   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-4.720419 883 416 B (0.52887882 0.47112118)  
##       6) smoothness_worst>=-1.537035 533 220 B (0.58724203 0.41275797)  
##        12) compactness_se< -3.444843 372 123 B (0.66935484 0.33064516)  
##          24) compactness_se>=-3.494961 42   0 B (1.00000000 0.00000000) *
##          25) compactness_se< -3.494961 330 123 B (0.62727273 0.37272727)  
##            50) compactness_se< -3.668499 271  80 B (0.70479705 0.29520295)  
##             100) smoothness_worst< -1.52112 39   0 B (1.00000000 0.00000000) *
##             101) smoothness_worst>=-1.52112 232  80 B (0.65517241 0.34482759) *
##            51) compactness_se>=-3.668499 59  16 M (0.27118644 0.72881356)  
##             102) symmetry_worst< -1.840831 23   7 B (0.69565217 0.30434783) *
##             103) symmetry_worst>=-1.840831 36   0 M (0.00000000 1.00000000) *
##        13) compactness_se>=-3.444843 161  64 M (0.39751553 0.60248447)  
##          26) compactness_se>=-3.426516 122  59 B (0.51639344 0.48360656)  
##            52) texture_mean< 3.031099 77  25 B (0.67532468 0.32467532)  
##             104) smoothness_mean< -2.047934 67  16 B (0.76119403 0.23880597) *
##             105) smoothness_mean>=-2.047934 10   1 M (0.10000000 0.90000000) *
##            53) texture_mean>=3.031099 45  11 M (0.24444444 0.75555556)  
##             106) smoothness_worst< -1.507968 11   4 B (0.63636364 0.36363636) *
##             107) smoothness_worst>=-1.507968 34   4 M (0.11764706 0.88235294) *
##          27) compactness_se< -3.426516 39   1 M (0.02564103 0.97435897)  
##            54) smoothness_mean>=-2.15207 1   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean< -2.15207 38   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst< -1.537035 350 154 M (0.44000000 0.56000000)  
##        14) texture_worst>=4.683744 121  46 B (0.61983471 0.38016529)  
##          28) symmetry_worst< -1.535114 113  38 B (0.66371681 0.33628319)  
##            56) smoothness_worst< -1.549837 98  26 B (0.73469388 0.26530612)  
##             112) compactness_se>=-4.620161 92  20 B (0.78260870 0.21739130) *
##             113) compactness_se< -4.620161 6   0 M (0.00000000 1.00000000) *
##            57) smoothness_worst>=-1.549837 15   3 M (0.20000000 0.80000000)  
##             114) texture_mean>=3.228181 3   0 B (1.00000000 0.00000000) *
##             115) texture_mean< 3.228181 12   0 M (0.00000000 1.00000000) *
##          29) symmetry_worst>=-1.535114 8   0 M (0.00000000 1.00000000) *
##        15) texture_worst< 4.683744 229  79 M (0.34497817 0.65502183)  
##          30) texture_worst< 4.569119 169  75 M (0.44378698 0.55621302)  
##            60) texture_worst>=4.467472 47   9 B (0.80851064 0.19148936)  
##             120) texture_mean< 3.00543 35   0 B (1.00000000 0.00000000) *
##             121) texture_mean>=3.00543 12   3 M (0.25000000 0.75000000) *
##            61) texture_worst< 4.467472 122  37 M (0.30327869 0.69672131)  
##             122) compactness_se>=-3.392487 18   0 B (1.00000000 0.00000000) *
##             123) compactness_se< -3.392487 104  19 M (0.18269231 0.81730769) *
##          31) texture_worst>=4.569119 60   4 M (0.06666667 0.93333333)  
##            62) compactness_se< -4.694501 2   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.694501 58   2 M (0.03448276 0.96551724)  
##             126) smoothness_mean< -2.541228 1   0 B (1.00000000 0.00000000) *
##             127) smoothness_mean>=-2.541228 57   1 M (0.01754386 0.98245614) *
## 
## $trees[[24]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 426 M (0.46710526 0.53289474)  
##     2) symmetry_worst< -2.202388 65  14 B (0.78461538 0.21538462)  
##       4) compactness_se>=-4.487767 59   8 B (0.86440678 0.13559322)  
##         8) compactness_se< -3.487878 44   0 B (1.00000000 0.00000000) *
##         9) compactness_se>=-3.487878 15   7 M (0.46666667 0.53333333)  
##          18) texture_mean< 3.164619 9   2 B (0.77777778 0.22222222)  
##            36) compactness_se>=-3.445309 7   0 B (1.00000000 0.00000000) *
##            37) compactness_se< -3.445309 2   0 M (0.00000000 1.00000000) *
##          19) texture_mean>=3.164619 6   0 M (0.00000000 1.00000000) *
##       5) compactness_se< -4.487767 6   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-2.202388 847 375 M (0.44273908 0.55726092)  
##       6) texture_mean>=2.515298 827 375 M (0.45344619 0.54655381)  
##        12) texture_mean< 2.652171 18   0 B (1.00000000 0.00000000) *
##        13) texture_mean>=2.652171 809 357 M (0.44128554 0.55871446)  
##          26) symmetry_worst< -1.330332 767 351 M (0.45762712 0.54237288)  
##            52) symmetry_worst>=-1.557842 143  56 B (0.60839161 0.39160839)  
##             104) texture_mean< 2.919389 42   6 B (0.85714286 0.14285714) *
##             105) texture_mean>=2.919389 101  50 B (0.50495050 0.49504950) *
##            53) symmetry_worst< -1.557842 624 264 M (0.42307692 0.57692308)  
##             106) symmetry_worst< -1.656669 499 234 M (0.46893788 0.53106212) *
##             107) symmetry_worst>=-1.656669 125  30 M (0.24000000 0.76000000) *
##          27) symmetry_worst>=-1.330332 42   6 M (0.14285714 0.85714286)  
##            54) texture_mean< 2.756192 9   4 B (0.55555556 0.44444444)  
##             108) texture_mean>=2.693961 5   0 B (1.00000000 0.00000000) *
##             109) texture_mean< 2.693961 4   0 M (0.00000000 1.00000000) *
##            55) texture_mean>=2.756192 33   1 M (0.03030303 0.96969697)  
##             110) texture_mean>=3.10949 5   1 M (0.20000000 0.80000000) *
##             111) texture_mean< 3.10949 28   0 M (0.00000000 1.00000000) *
##       7) texture_mean< 2.515298 20   0 M (0.00000000 1.00000000) *
## 
## $trees[[25]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 445 B (0.51206140 0.48793860)  
##     2) smoothness_worst< -1.52112 436 173 B (0.60321101 0.39678899)  
##       4) compactness_se< -3.512408 322 104 B (0.67701863 0.32298137)  
##         8) compactness_se>=-4.100467 144  29 B (0.79861111 0.20138889)  
##          16) compactness_se< -3.744043 75   2 B (0.97333333 0.02666667)  
##            32) texture_worst< 5.269605 74   1 B (0.98648649 0.01351351)  
##              64) symmetry_worst< -1.291188 73   0 B (1.00000000 0.00000000) *
##              65) symmetry_worst>=-1.291188 1   0 M (0.00000000 1.00000000) *
##            33) texture_worst>=5.269605 1   0 M (0.00000000 1.00000000) *
##          17) compactness_se>=-3.744043 69  27 B (0.60869565 0.39130435)  
##            34) compactness_se>=-3.696318 51   9 B (0.82352941 0.17647059)  
##              68) smoothness_mean< -2.305648 45   3 B (0.93333333 0.06666667) *
##              69) smoothness_mean>=-2.305648 6   0 M (0.00000000 1.00000000) *
##            35) compactness_se< -3.696318 18   0 M (0.00000000 1.00000000) *
##         9) compactness_se< -4.100467 178  75 B (0.57865169 0.42134831)  
##          18) texture_mean< 2.874407 31   3 B (0.90322581 0.09677419)  
##            36) compactness_se< -4.173143 26   0 B (1.00000000 0.00000000) *
##            37) compactness_se>=-4.173143 5   2 M (0.40000000 0.60000000)  
##              74) texture_mean< 2.824054 2   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=2.824054 3   0 M (0.00000000 1.00000000) *
##          19) texture_mean>=2.874407 147  72 B (0.51020408 0.48979592)  
##            38) texture_mean>=3.23119 19   0 B (1.00000000 0.00000000) *
##            39) texture_mean< 3.23119 128  56 M (0.43750000 0.56250000)  
##              78) smoothness_worst>=-1.537044 12   1 B (0.91666667 0.08333333) *
##              79) smoothness_worst< -1.537044 116  45 M (0.38793103 0.61206897) *
##       5) compactness_se>=-3.512408 114  45 M (0.39473684 0.60526316)  
##        10) compactness_se>=-3.390703 56  23 B (0.58928571 0.41071429)  
##          20) texture_mean< 3.038537 27   0 B (1.00000000 0.00000000) *
##          21) texture_mean>=3.038537 29   6 M (0.20689655 0.79310345)  
##            42) smoothness_mean< -2.638103 3   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean>=-2.638103 26   3 M (0.11538462 0.88461538)  
##              86) compactness_se< -3.057272 7   3 M (0.42857143 0.57142857) *
##              87) compactness_se>=-3.057272 19   0 M (0.00000000 1.00000000) *
##        11) compactness_se< -3.390703 58  12 M (0.20689655 0.79310345)  
##          22) smoothness_worst< -1.618016 5   0 B (1.00000000 0.00000000) *
##          23) smoothness_worst>=-1.618016 53   7 M (0.13207547 0.86792453)  
##            46) smoothness_worst>=-1.537914 7   3 M (0.42857143 0.57142857)  
##              92) texture_mean< 3.014442 3   0 B (1.00000000 0.00000000) *
##              93) texture_mean>=3.014442 4   0 M (0.00000000 1.00000000) *
##            47) smoothness_worst< -1.537914 46   4 M (0.08695652 0.91304348)  
##              94) texture_worst>=4.680541 10   4 M (0.40000000 0.60000000) *
##              95) texture_worst< 4.680541 36   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.52112 476 204 M (0.42857143 0.57142857)  
##       6) compactness_se< -4.50262 13   1 B (0.92307692 0.07692308)  
##        12) smoothness_worst>=-1.480347 12   0 B (1.00000000 0.00000000) *
##        13) smoothness_worst< -1.480347 1   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-4.50262 463 192 M (0.41468683 0.58531317)  
##        14) texture_mean< 3.079152 385 174 M (0.45194805 0.54805195)  
##          28) symmetry_worst< -1.620541 223 105 B (0.52914798 0.47085202)  
##            56) smoothness_mean>=-2.326878 145  48 B (0.66896552 0.33103448)  
##             112) compactness_se< -3.447524 99  20 B (0.79797980 0.20202020) *
##             113) compactness_se>=-3.447524 46  18 M (0.39130435 0.60869565) *
##            57) smoothness_mean< -2.326878 78  21 M (0.26923077 0.73076923)  
##             114) smoothness_mean< -2.399143 18   5 B (0.72222222 0.27777778) *
##             115) smoothness_mean>=-2.399143 60   8 M (0.13333333 0.86666667) *
##          29) symmetry_worst>=-1.620541 162  56 M (0.34567901 0.65432099)  
##            58) smoothness_mean< -2.322588 35   9 B (0.74285714 0.25714286)  
##             116) smoothness_worst< -1.452493 26   2 B (0.92307692 0.07692308) *
##             117) smoothness_worst>=-1.452493 9   2 M (0.22222222 0.77777778) *
##            59) smoothness_mean>=-2.322588 127  30 M (0.23622047 0.76377953)  
##             118) smoothness_mean< -2.216408 82  28 M (0.34146341 0.65853659) *
##             119) smoothness_mean>=-2.216408 45   2 M (0.04444444 0.95555556) *
##        15) texture_mean>=3.079152 78  18 M (0.23076923 0.76923077)  
##          30) compactness_se>=-3.615775 45  17 M (0.37777778 0.62222222)  
##            60) compactness_se< -3.334337 17   5 B (0.70588235 0.29411765)  
##             120) texture_worst>=4.702937 14   2 B (0.85714286 0.14285714) *
##             121) texture_worst< 4.702937 3   0 M (0.00000000 1.00000000) *
##            61) compactness_se>=-3.334337 28   5 M (0.17857143 0.82142857)  
##             122) texture_mean>=3.216873 6   1 B (0.83333333 0.16666667) *
##             123) texture_mean< 3.216873 22   0 M (0.00000000 1.00000000) *
##          31) compactness_se< -3.615775 33   1 M (0.03030303 0.96969697)  
##            62) texture_mean>=3.298061 5   1 M (0.20000000 0.80000000)  
##             124) texture_mean< 3.407548 1   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=3.407548 4   0 M (0.00000000 1.00000000) *
##            63) texture_mean< 3.298061 28   0 M (0.00000000 1.00000000) *
## 
## $trees[[26]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 399 B (0.56250000 0.43750000)  
##     2) symmetry_worst< -1.915927 265  82 B (0.69056604 0.30943396)  
##       4) texture_worst< 4.907333 214  53 B (0.75233645 0.24766355)  
##         8) texture_mean>=2.776304 170  29 B (0.82941176 0.17058824)  
##          16) symmetry_worst>=-2.49184 165  24 B (0.85454545 0.14545455)  
##            32) symmetry_worst>=-2.106078 130  12 B (0.90769231 0.09230769)  
##              64) compactness_se>=-4.080984 100   2 B (0.98000000 0.02000000) *
##              65) compactness_se< -4.080984 30  10 B (0.66666667 0.33333333) *
##            33) symmetry_worst< -2.106078 35  12 B (0.65714286 0.34285714)  
##              66) symmetry_worst< -2.174839 29   6 B (0.79310345 0.20689655) *
##              67) symmetry_worst>=-2.174839 6   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst< -2.49184 5   0 M (0.00000000 1.00000000) *
##         9) texture_mean< 2.776304 44  20 M (0.45454545 0.54545455)  
##          18) texture_mean< 2.755881 19   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.755881 25   1 M (0.04000000 0.96000000)  
##            38) smoothness_mean< -2.479158 1   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean>=-2.479158 24   0 M (0.00000000 1.00000000) *
##       5) texture_worst>=4.907333 51  22 M (0.43137255 0.56862745)  
##        10) texture_mean>=3.282328 21   2 B (0.90476190 0.09523810)  
##          20) texture_worst< 5.309872 17   0 B (1.00000000 0.00000000) *
##          21) texture_worst>=5.309872 4   2 B (0.50000000 0.50000000)  
##            42) texture_mean>=3.33289 2   0 B (1.00000000 0.00000000) *
##            43) texture_mean< 3.33289 2   0 M (0.00000000 1.00000000) *
##        11) texture_mean< 3.282328 30   3 M (0.10000000 0.90000000)  
##          22) smoothness_worst< -1.523825 3   0 B (1.00000000 0.00000000) *
##          23) smoothness_worst>=-1.523825 27   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.915927 647 317 B (0.51004637 0.48995363)  
##       6) compactness_se< -3.672219 385 156 B (0.59480519 0.40519481)  
##        12) smoothness_worst< -1.472307 265  89 B (0.66415094 0.33584906)  
##          24) symmetry_worst< -1.338558 254  78 B (0.69291339 0.30708661)  
##            48) compactness_se>=-3.897162 62   6 B (0.90322581 0.09677419)  
##              96) compactness_se< -3.703794 53   1 B (0.98113208 0.01886792) *
##              97) compactness_se>=-3.703794 9   4 M (0.44444444 0.55555556) *
##            49) compactness_se< -3.897162 192  72 B (0.62500000 0.37500000)  
##              98) texture_mean< 2.975273 131  36 B (0.72519084 0.27480916) *
##              99) texture_mean>=2.975273 61  25 M (0.40983607 0.59016393) *
##          25) symmetry_worst>=-1.338558 11   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst>=-1.472307 120  53 M (0.44166667 0.55833333)  
##          26) texture_worst< 4.368975 36   9 B (0.75000000 0.25000000)  
##            52) texture_mean>=2.518783 28   1 B (0.96428571 0.03571429)  
##             104) smoothness_mean>=-2.393992 27   0 B (1.00000000 0.00000000) *
##             105) smoothness_mean< -2.393992 1   0 M (0.00000000 1.00000000) *
##            53) texture_mean< 2.518783 8   0 M (0.00000000 1.00000000) *
##          27) texture_worst>=4.368975 84  26 M (0.30952381 0.69047619)  
##            54) compactness_se< -4.040144 42  17 B (0.59523810 0.40476190)  
##             108) compactness_se>=-4.094455 21   0 B (1.00000000 0.00000000) *
##             109) compactness_se< -4.094455 21   4 M (0.19047619 0.80952381) *
##            55) compactness_se>=-4.040144 42   1 M (0.02380952 0.97619048)  
##             110) symmetry_worst< -1.905461 1   0 B (1.00000000 0.00000000) *
##             111) symmetry_worst>=-1.905461 41   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-3.672219 262 101 M (0.38549618 0.61450382)  
##        14) compactness_se>=-3.57681 209 101 M (0.48325359 0.51674641)  
##          28) compactness_se< -3.451284 51  12 B (0.76470588 0.23529412)  
##            56) texture_mean>=2.77645 46   7 B (0.84782609 0.15217391)  
##             112) texture_worst< 4.696805 39   2 B (0.94871795 0.05128205) *
##             113) texture_worst>=4.696805 7   2 M (0.28571429 0.71428571) *
##            57) texture_mean< 2.77645 5   0 M (0.00000000 1.00000000) *
##          29) compactness_se>=-3.451284 158  62 M (0.39240506 0.60759494)  
##            58) texture_mean< 2.927442 53  16 B (0.69811321 0.30188679)  
##             116) symmetry_worst< -1.316602 36   6 B (0.83333333 0.16666667) *
##             117) symmetry_worst>=-1.316602 17   7 M (0.41176471 0.58823529) *
##            59) texture_mean>=2.927442 105  25 M (0.23809524 0.76190476)  
##             118) smoothness_mean< -2.331606 45  22 M (0.48888889 0.51111111) *
##             119) smoothness_mean>=-2.331606 60   3 M (0.05000000 0.95000000) *
##        15) compactness_se< -3.57681 53   0 M (0.00000000 1.00000000) *
## 
## $trees[[27]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 444 B (0.51315789 0.48684211)  
##     2) smoothness_worst< -1.603315 146  40 B (0.72602740 0.27397260)  
##       4) symmetry_worst< -1.777195 98  13 B (0.86734694 0.13265306)  
##         8) smoothness_mean>=-2.539342 66   2 B (0.96969697 0.03030303)  
##          16) smoothness_mean< -2.373736 64   0 B (1.00000000 0.00000000) *
##          17) smoothness_mean>=-2.373736 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.539342 32  11 B (0.65625000 0.34375000)  
##          18) smoothness_mean< -2.566967 24   3 B (0.87500000 0.12500000)  
##            36) compactness_se< -3.013033 20   0 B (1.00000000 0.00000000) *
##            37) compactness_se>=-3.013033 4   1 M (0.25000000 0.75000000)  
##              74) texture_mean< 3.076827 1   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=3.076827 3   0 M (0.00000000 1.00000000) *
##          19) smoothness_mean>=-2.566967 8   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.777195 48  21 M (0.43750000 0.56250000)  
##        10) texture_mean>=3.083898 16   2 B (0.87500000 0.12500000)  
##          20) smoothness_mean< -2.337942 14   0 B (1.00000000 0.00000000) *
##          21) smoothness_mean>=-2.337942 2   0 M (0.00000000 1.00000000) *
##        11) texture_mean< 3.083898 32   7 M (0.21875000 0.78125000)  
##          22) texture_mean< 2.939162 7   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.939162 25   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.603315 766 362 M (0.47258486 0.52741514)  
##       6) smoothness_mean>=-2.328057 370 163 B (0.55945946 0.44054054)  
##        12) compactness_se< -3.294139 288 108 B (0.62500000 0.37500000)  
##          24) compactness_se>=-3.355844 30   0 B (1.00000000 0.00000000) *
##          25) compactness_se< -3.355844 258 108 B (0.58139535 0.41860465)  
##            50) texture_worst< 4.907333 228  83 B (0.63596491 0.36403509)  
##             100) texture_worst>=4.664833 43   3 B (0.93023256 0.06976744) *
##             101) texture_worst< 4.664833 185  80 B (0.56756757 0.43243243) *
##            51) texture_worst>=4.907333 30   5 M (0.16666667 0.83333333)  
##             102) symmetry_worst< -2.19651 3   0 B (1.00000000 0.00000000) *
##             103) symmetry_worst>=-2.19651 27   2 M (0.07407407 0.92592593) *
##        13) compactness_se>=-3.294139 82  27 M (0.32926829 0.67073171)  
##          26) smoothness_worst< -1.507356 13   1 B (0.92307692 0.07692308)  
##            52) texture_mean< 3.088806 12   0 B (1.00000000 0.00000000) *
##            53) texture_mean>=3.088806 1   0 M (0.00000000 1.00000000) *
##          27) smoothness_worst>=-1.507356 69  15 M (0.21739130 0.78260870)  
##            54) texture_worst< 4.332604 22   7 B (0.68181818 0.31818182)  
##             108) compactness_se>=-3.19702 18   3 B (0.83333333 0.16666667) *
##             109) compactness_se< -3.19702 4   0 M (0.00000000 1.00000000) *
##            55) texture_worst>=4.332604 47   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean< -2.328057 396 155 M (0.39141414 0.60858586)  
##        14) compactness_se>=-3.187867 47  10 B (0.78723404 0.21276596)  
##          28) smoothness_worst>=-1.555518 38   2 B (0.94736842 0.05263158)  
##            56) texture_mean< 3.297828 37   1 B (0.97297297 0.02702703)  
##             112) smoothness_worst>=-1.523533 33   0 B (1.00000000 0.00000000) *
##             113) smoothness_worst< -1.523533 4   1 B (0.75000000 0.25000000) *
##            57) texture_mean>=3.297828 1   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst< -1.555518 9   1 M (0.11111111 0.88888889)  
##            58) texture_mean< 3.051803 1   0 B (1.00000000 0.00000000) *
##            59) texture_mean>=3.051803 8   0 M (0.00000000 1.00000000) *
##        15) compactness_se< -3.187867 349 118 M (0.33810888 0.66189112)  
##          30) compactness_se< -4.691273 10   0 B (1.00000000 0.00000000) *
##          31) compactness_se>=-4.691273 339 108 M (0.31858407 0.68141593)  
##            62) texture_worst>=4.756552 89  42 M (0.47191011 0.52808989)  
##             124) smoothness_mean>=-2.443746 60  21 B (0.65000000 0.35000000) *
##             125) smoothness_mean< -2.443746 29   3 M (0.10344828 0.89655172) *
##            63) texture_worst< 4.756552 250  66 M (0.26400000 0.73600000)  
##             126) texture_worst< 4.578048 133  50 M (0.37593985 0.62406015) *
##             127) texture_worst>=4.578048 117  16 M (0.13675214 0.86324786) *
## 
## $trees[[28]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 433 B (0.52521930 0.47478070)  
##     2) smoothness_mean< -2.413908 268  85 B (0.68283582 0.31716418)  
##       4) symmetry_worst< -1.541072 228  57 B (0.75000000 0.25000000)  
##         8) symmetry_worst>=-1.750953 66   4 B (0.93939394 0.06060606)  
##          16) smoothness_mean>=-2.495574 51   0 B (1.00000000 0.00000000) *
##          17) smoothness_mean< -2.495574 15   4 B (0.73333333 0.26666667)  
##            34) smoothness_mean< -2.509617 12   1 B (0.91666667 0.08333333)  
##              68) texture_mean>=2.986158 10   0 B (1.00000000 0.00000000) *
##              69) texture_mean< 2.986158 2   1 B (0.50000000 0.50000000) *
##            35) smoothness_mean>=-2.509617 3   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst< -1.750953 162  53 B (0.67283951 0.32716049)  
##          18) texture_mean>=2.969886 102  20 B (0.80392157 0.19607843)  
##            36) smoothness_worst< -1.556752 81   8 B (0.90123457 0.09876543)  
##              72) texture_mean< 3.078218 49   0 B (1.00000000 0.00000000) *
##              73) texture_mean>=3.078218 32   8 B (0.75000000 0.25000000) *
##            37) smoothness_worst>=-1.556752 21   9 M (0.42857143 0.57142857)  
##              74) smoothness_worst>=-1.441158 6   0 B (1.00000000 0.00000000) *
##              75) smoothness_worst< -1.441158 15   3 M (0.20000000 0.80000000) *
##          19) texture_mean< 2.969886 60  27 M (0.45000000 0.55000000)  
##            38) symmetry_worst< -1.863339 28   7 B (0.75000000 0.25000000)  
##              76) compactness_se< -3.49316 18   0 B (1.00000000 0.00000000) *
##              77) compactness_se>=-3.49316 10   3 M (0.30000000 0.70000000) *
##            39) symmetry_worst>=-1.863339 32   6 M (0.18750000 0.81250000)  
##              78) texture_worst< 4.337685 6   0 B (1.00000000 0.00000000) *
##              79) texture_worst>=4.337685 26   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.541072 40  12 M (0.30000000 0.70000000)  
##        10) texture_worst< 4.61159 12   2 B (0.83333333 0.16666667)  
##          20) smoothness_mean< -2.431087 10   0 B (1.00000000 0.00000000) *
##          21) smoothness_mean>=-2.431087 2   0 M (0.00000000 1.00000000) *
##        11) texture_worst>=4.61159 28   2 M (0.07142857 0.92857143)  
##          22) texture_mean< 2.904002 1   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.904002 27   1 M (0.03703704 0.96296296)  
##            46) smoothness_mean< -2.540124 1   0 B (1.00000000 0.00000000) *
##            47) smoothness_mean>=-2.540124 26   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.413908 644 296 M (0.45962733 0.54037267)  
##       6) smoothness_mean>=-2.411173 625 296 M (0.47360000 0.52640000)  
##        12) smoothness_mean< -2.079457 592 292 M (0.49324324 0.50675676)  
##          24) texture_worst< 4.523593 218  83 B (0.61926606 0.38073394)  
##            48) compactness_se< -3.88564 79  12 B (0.84810127 0.15189873)  
##              96) smoothness_worst< -1.450406 67   4 B (0.94029851 0.05970149) *
##              97) smoothness_worst>=-1.450406 12   4 M (0.33333333 0.66666667) *
##            49) compactness_se>=-3.88564 139  68 M (0.48920863 0.51079137)  
##              98) texture_mean>=2.761589 101  41 B (0.59405941 0.40594059) *
##              99) texture_mean< 2.761589 38   8 M (0.21052632 0.78947368) *
##          25) texture_worst>=4.523593 374 157 M (0.41978610 0.58021390)  
##            50) smoothness_mean>=-2.094359 15   0 B (1.00000000 0.00000000) *
##            51) smoothness_mean< -2.094359 359 142 M (0.39554318 0.60445682)  
##             102) texture_worst>=4.528527 334 142 M (0.42514970 0.57485030) *
##             103) texture_worst< 4.528527 25   0 M (0.00000000 1.00000000) *
##        13) smoothness_mean>=-2.079457 33   4 M (0.12121212 0.87878788)  
##          26) smoothness_mean>=-1.872323 2   0 B (1.00000000 0.00000000) *
##          27) smoothness_mean< -1.872323 31   2 M (0.06451613 0.93548387)  
##            54) symmetry_worst>=-1.400188 4   2 B (0.50000000 0.50000000)  
##             108) texture_mean< 2.805492 2   0 B (1.00000000 0.00000000) *
##             109) texture_mean>=2.805492 2   0 M (0.00000000 1.00000000) *
##            55) symmetry_worst< -1.400188 27   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean< -2.411173 19   0 M (0.00000000 1.00000000) *
## 
## $trees[[29]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 420 B (0.53947368 0.46052632)  
##     2) texture_worst>=4.644679 338 115 B (0.65976331 0.34023669)  
##       4) symmetry_worst< -1.41845 318  96 B (0.69811321 0.30188679)  
##         8) symmetry_worst>=-2.121358 270  68 B (0.74814815 0.25185185)  
##          16) texture_mean< 3.043808 118  12 B (0.89830508 0.10169492)  
##            32) smoothness_worst>=-1.614721 114   8 B (0.92982456 0.07017544)  
##              64) texture_worst< 4.858219 83   2 B (0.97590361 0.02409639) *
##              65) texture_worst>=4.858219 31   6 B (0.80645161 0.19354839) *
##            33) smoothness_worst< -1.614721 4   0 M (0.00000000 1.00000000) *
##          17) texture_mean>=3.043808 152  56 B (0.63157895 0.36842105)  
##            34) texture_mean>=3.176386 64  10 B (0.84375000 0.15625000)  
##              68) texture_worst< 5.194184 36   0 B (1.00000000 0.00000000) *
##              69) texture_worst>=5.194184 28  10 B (0.64285714 0.35714286) *
##            35) texture_mean< 3.176386 88  42 M (0.47727273 0.52272727)  
##              70) compactness_se< -3.477231 73  31 B (0.57534247 0.42465753) *
##              71) compactness_se>=-3.477231 15   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst< -2.121358 48  20 M (0.41666667 0.58333333)  
##          18) symmetry_worst< -2.20425 28  10 B (0.64285714 0.35714286)  
##            36) texture_mean< 3.330945 18   1 B (0.94444444 0.05555556)  
##              72) smoothness_mean< -2.282229 17   0 B (1.00000000 0.00000000) *
##              73) smoothness_mean>=-2.282229 1   0 M (0.00000000 1.00000000) *
##            37) texture_mean>=3.330945 10   1 M (0.10000000 0.90000000)  
##              74) texture_mean>=3.379986 1   0 B (1.00000000 0.00000000) *
##              75) texture_mean< 3.379986 9   0 M (0.00000000 1.00000000) *
##          19) symmetry_worst>=-2.20425 20   2 M (0.10000000 0.90000000)  
##            38) smoothness_worst>=-1.476691 5   2 M (0.40000000 0.60000000)  
##              76) texture_mean< 3.159934 2   0 B (1.00000000 0.00000000) *
##              77) texture_mean>=3.159934 3   0 M (0.00000000 1.00000000) *
##            39) smoothness_worst< -1.476691 15   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.41845 20   1 M (0.05000000 0.95000000)  
##        10) smoothness_worst< -1.496291 2   1 B (0.50000000 0.50000000)  
##          20) texture_mean>=3.104075 1   0 B (1.00000000 0.00000000) *
##          21) texture_mean< 3.104075 1   0 M (0.00000000 1.00000000) *
##        11) smoothness_worst>=-1.496291 18   0 M (0.00000000 1.00000000) *
##     3) texture_worst< 4.644679 574 269 M (0.46864111 0.53135889)  
##       6) texture_worst< 4.178472 73  21 B (0.71232877 0.28767123)  
##        12) texture_mean>=2.515298 66  14 B (0.78787879 0.21212121)  
##          24) symmetry_worst< -1.075653 62  10 B (0.83870968 0.16129032)  
##            48) texture_mean< 2.764104 46   1 B (0.97826087 0.02173913)  
##              96) smoothness_worst>=-1.540652 34   0 B (1.00000000 0.00000000) *
##              97) smoothness_worst< -1.540652 12   1 B (0.91666667 0.08333333) *
##            49) texture_mean>=2.764104 16   7 M (0.43750000 0.56250000)  
##              98) texture_worst>=4.133097 5   0 B (1.00000000 0.00000000) *
##              99) texture_worst< 4.133097 11   2 M (0.18181818 0.81818182) *
##          25) symmetry_worst>=-1.075653 4   0 M (0.00000000 1.00000000) *
##        13) texture_mean< 2.515298 7   0 M (0.00000000 1.00000000) *
##       7) texture_worst>=4.178472 501 217 M (0.43313373 0.56686627)  
##        14) smoothness_mean< -2.216408 436 207 M (0.47477064 0.52522936)  
##          28) smoothness_mean>=-2.233531 29   0 B (1.00000000 0.00000000) *
##          29) smoothness_mean< -2.233531 407 178 M (0.43734644 0.56265356)  
##            58) symmetry_worst< -1.995212 50  12 B (0.76000000 0.24000000)  
##             116) symmetry_worst>=-2.419818 40   3 B (0.92500000 0.07500000) *
##             117) symmetry_worst< -2.419818 10   1 M (0.10000000 0.90000000) *
##            59) symmetry_worst>=-1.995212 357 140 M (0.39215686 0.60784314)  
##             118) symmetry_worst>=-1.413763 17   0 B (1.00000000 0.00000000) *
##             119) symmetry_worst< -1.413763 340 123 M (0.36176471 0.63823529) *
##        15) smoothness_mean>=-2.216408 65  10 M (0.15384615 0.84615385)  
##          30) symmetry_worst< -1.79876 10   3 B (0.70000000 0.30000000)  
##            60) texture_mean< 3.018626 7   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=3.018626 3   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-1.79876 55   3 M (0.05454545 0.94545455)  
##            62) compactness_se< -4.032019 6   3 B (0.50000000 0.50000000)  
##             124) smoothness_mean>=-2.195263 3   0 B (1.00000000 0.00000000) *
##             125) smoothness_mean< -2.195263 3   0 M (0.00000000 1.00000000) *
##            63) compactness_se>=-4.032019 49   0 M (0.00000000 1.00000000) *
## 
## $trees[[30]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 390 B (0.57236842 0.42763158)  
##     2) smoothness_mean< -2.392182 340 106 B (0.68823529 0.31176471)  
##       4) texture_mean< 3.058002 221  48 B (0.78280543 0.21719457)  
##         8) symmetry_worst< -1.815934 117  12 B (0.89743590 0.10256410)  
##          16) texture_worst>=3.96146 111   8 B (0.92792793 0.07207207)  
##            32) compactness_se>=-4.49319 90   0 B (1.00000000 0.00000000) *
##            33) compactness_se< -4.49319 21   8 B (0.61904762 0.38095238)  
##              66) compactness_se< -4.501722 15   2 B (0.86666667 0.13333333) *
##              67) compactness_se>=-4.501722 6   0 M (0.00000000 1.00000000) *
##          17) texture_worst< 3.96146 6   2 M (0.33333333 0.66666667)  
##            34) texture_mean< 2.764104 2   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.764104 4   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst>=-1.815934 104  36 B (0.65384615 0.34615385)  
##          18) symmetry_worst>=-1.687955 73  14 B (0.80821918 0.19178082)  
##            36) texture_mean< 2.975525 64   7 B (0.89062500 0.10937500)  
##              72) compactness_se>=-4.650552 52   1 B (0.98076923 0.01923077) *
##              73) compactness_se< -4.650552 12   6 B (0.50000000 0.50000000) *
##            37) texture_mean>=2.975525 9   2 M (0.22222222 0.77777778)  
##              74) compactness_se>=-3.345605 2   0 B (1.00000000 0.00000000) *
##              75) compactness_se< -3.345605 7   0 M (0.00000000 1.00000000) *
##          19) symmetry_worst< -1.687955 31   9 M (0.29032258 0.70967742)  
##            38) texture_mean>=3.016943 3   0 B (1.00000000 0.00000000) *
##            39) texture_mean< 3.016943 28   6 M (0.21428571 0.78571429)  
##              78) smoothness_mean>=-2.400476 3   0 B (1.00000000 0.00000000) *
##              79) smoothness_mean< -2.400476 25   3 M (0.12000000 0.88000000) *
##       5) texture_mean>=3.058002 119  58 B (0.51260504 0.48739496)  
##        10) texture_mean>=3.176386 61  16 B (0.73770492 0.26229508)  
##          20) texture_worst< 5.11809 35   1 B (0.97142857 0.02857143)  
##            40) smoothness_mean< -2.407784 34   0 B (1.00000000 0.00000000) *
##            41) smoothness_mean>=-2.407784 1   0 M (0.00000000 1.00000000) *
##          21) texture_worst>=5.11809 26  11 M (0.42307692 0.57692308)  
##            42) smoothness_mean< -2.489159 6   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean>=-2.489159 20   5 M (0.25000000 0.75000000)  
##              86) smoothness_worst>=-1.578674 9   4 B (0.55555556 0.44444444) *
##              87) smoothness_worst< -1.578674 11   0 M (0.00000000 1.00000000) *
##        11) texture_mean< 3.176386 58  16 M (0.27586207 0.72413793)  
##          22) compactness_se>=-3.969954 29  13 M (0.44827586 0.55172414)  
##            44) compactness_se< -3.519057 9   0 B (1.00000000 0.00000000) *
##            45) compactness_se>=-3.519057 20   4 M (0.20000000 0.80000000)  
##              90) symmetry_worst< -2.137435 5   2 B (0.60000000 0.40000000) *
##              91) symmetry_worst>=-2.137435 15   1 M (0.06666667 0.93333333) *
##          23) compactness_se< -3.969954 29   3 M (0.10344828 0.89655172)  
##            46) smoothness_mean< -2.552595 2   0 B (1.00000000 0.00000000) *
##            47) smoothness_mean>=-2.552595 27   1 M (0.03703704 0.96296296)  
##              94) texture_worst>=4.985267 1   0 B (1.00000000 0.00000000) *
##              95) texture_worst< 4.985267 26   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.392182 572 284 B (0.50349650 0.49650350)  
##       6) smoothness_worst>=-1.477976 280 109 B (0.61071429 0.38928571)  
##        12) smoothness_worst< -1.473476 45   0 B (1.00000000 0.00000000) *
##        13) smoothness_worst>=-1.473476 235 109 B (0.53617021 0.46382979)  
##          26) symmetry_worst< -1.931792 37   6 B (0.83783784 0.16216216)  
##            52) texture_worst< 4.85229 31   0 B (1.00000000 0.00000000) *
##            53) texture_worst>=4.85229 6   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-1.931792 198  95 M (0.47979798 0.52020202)  
##            54) texture_worst>=4.63229 101  36 B (0.64356436 0.35643564)  
##             108) smoothness_worst>=-1.453466 89  24 B (0.73033708 0.26966292) *
##             109) smoothness_worst< -1.453466 12   0 M (0.00000000 1.00000000) *
##            55) texture_worst< 4.63229 97  30 M (0.30927835 0.69072165)  
##             110) symmetry_worst>=-1.472013 18   4 B (0.77777778 0.22222222) *
##             111) symmetry_worst< -1.472013 79  16 M (0.20253165 0.79746835) *
##       7) smoothness_worst< -1.477976 292 117 M (0.40068493 0.59931507)  
##        14) smoothness_worst< -1.501069 185  83 B (0.55135135 0.44864865)  
##          28) compactness_se< -3.721403 89  23 B (0.74157303 0.25842697)  
##            56) smoothness_mean>=-2.382983 77  12 B (0.84415584 0.15584416)  
##             112) smoothness_worst>=-1.595733 70   6 B (0.91428571 0.08571429) *
##             113) smoothness_worst< -1.595733 7   1 M (0.14285714 0.85714286) *
##            57) smoothness_mean< -2.382983 12   1 M (0.08333333 0.91666667)  
##             114) texture_mean< 2.909709 1   0 B (1.00000000 0.00000000) *
##             115) texture_mean>=2.909709 11   0 M (0.00000000 1.00000000) *
##          29) compactness_se>=-3.721403 96  36 M (0.37500000 0.62500000)  
##            58) compactness_se>=-3.494301 45  16 B (0.64444444 0.35555556)  
##             116) smoothness_mean>=-2.358802 36   7 B (0.80555556 0.19444444) *
##             117) smoothness_mean< -2.358802 9   0 M (0.00000000 1.00000000) *
##            59) compactness_se< -3.494301 51   7 M (0.13725490 0.86274510)  
##             118) texture_mean>=3.213191 11   4 B (0.63636364 0.36363636) *
##             119) texture_mean< 3.213191 40   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.501069 107  15 M (0.14018692 0.85981308)  
##          30) smoothness_mean< -2.367284 8   0 B (1.00000000 0.00000000) *
##          31) smoothness_mean>=-2.367284 99   7 M (0.07070707 0.92929293)  
##            62) texture_worst< 4.168738 5   2 B (0.60000000 0.40000000)  
##             124) texture_mean>=2.681419 3   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 2.681419 2   0 M (0.00000000 1.00000000) *
##            63) texture_worst>=4.168738 94   4 M (0.04255319 0.95744681)  
##             126) texture_mean< 2.754924 1   0 B (1.00000000 0.00000000) *
##             127) texture_mean>=2.754924 93   3 M (0.03225806 0.96774194) *
## 
## $trees[[31]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 418 B (0.54166667 0.45833333)  
##     2) symmetry_worst< -1.619354 607 233 B (0.61614498 0.38385502)  
##       4) texture_worst< 4.820212 455 151 B (0.66813187 0.33186813)  
##         8) texture_worst>=4.642157 88   8 B (0.90909091 0.09090909)  
##          16) texture_mean< 3.086888 73   1 B (0.98630137 0.01369863)  
##            32) symmetry_worst>=-2.176233 72   0 B (1.00000000 0.00000000) *
##            33) symmetry_worst< -2.176233 1   0 M (0.00000000 1.00000000) *
##          17) texture_mean>=3.086888 15   7 B (0.53333333 0.46666667)  
##            34) texture_worst>=4.754315 8   0 B (1.00000000 0.00000000) *
##            35) texture_worst< 4.754315 7   0 M (0.00000000 1.00000000) *
##         9) texture_worst< 4.642157 367 143 B (0.61035422 0.38964578)  
##          18) texture_mean< 2.711046 25   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.711046 342 143 B (0.58187135 0.41812865)  
##            38) smoothness_mean< -2.394871 136  37 B (0.72794118 0.27205882)  
##              76) texture_worst< 4.572846 101  18 B (0.82178218 0.17821782) *
##              77) texture_worst>=4.572846 35  16 M (0.45714286 0.54285714) *
##            39) smoothness_mean>=-2.394871 206 100 M (0.48543689 0.51456311)  
##              78) smoothness_mean>=-2.354774 171  76 B (0.55555556 0.44444444) *
##              79) smoothness_mean< -2.354774 35   5 M (0.14285714 0.85714286) *
##       5) texture_worst>=4.820212 152  70 M (0.46052632 0.53947368)  
##        10) texture_mean>=3.07454 111  50 B (0.54954955 0.45045045)  
##          20) texture_worst< 5.110945 56  15 B (0.73214286 0.26785714)  
##            40) texture_worst>=4.985267 32   2 B (0.93750000 0.06250000)  
##              80) texture_worst< 5.03133 24   0 B (1.00000000 0.00000000) *
##              81) texture_worst>=5.03133 8   2 B (0.75000000 0.25000000) *
##            41) texture_worst< 4.985267 24  11 M (0.45833333 0.54166667)  
##              82) texture_mean< 3.086931 9   0 B (1.00000000 0.00000000) *
##              83) texture_mean>=3.086931 15   2 M (0.13333333 0.86666667) *
##          21) texture_worst>=5.110945 55  20 M (0.36363636 0.63636364)  
##            42) symmetry_worst< -2.010076 19   5 B (0.73684211 0.26315789)  
##              84) compactness_se< -3.400535 16   2 B (0.87500000 0.12500000) *
##              85) compactness_se>=-3.400535 3   0 M (0.00000000 1.00000000) *
##            43) symmetry_worst>=-2.010076 36   6 M (0.16666667 0.83333333)  
##              86) smoothness_mean< -2.526959 4   0 B (1.00000000 0.00000000) *
##              87) smoothness_mean>=-2.526959 32   2 M (0.06250000 0.93750000) *
##        11) texture_mean< 3.07454 41   9 M (0.21951220 0.78048780)  
##          22) compactness_se< -4.899363 4   0 B (1.00000000 0.00000000) *
##          23) compactness_se>=-4.899363 37   5 M (0.13513514 0.86486486)  
##            46) texture_mean< 2.915217 3   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.915217 34   2 M (0.05882353 0.94117647)  
##              94) smoothness_worst>=-1.444513 6   2 M (0.33333333 0.66666667) *
##              95) smoothness_worst< -1.444513 28   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.619354 305 120 M (0.39344262 0.60655738)  
##       6) smoothness_mean< -2.155028 252 117 M (0.46428571 0.53571429)  
##        12) texture_mean< 2.918041 73  24 B (0.67123288 0.32876712)  
##          24) smoothness_worst< -1.489637 28   0 B (1.00000000 0.00000000) *
##          25) smoothness_worst>=-1.489637 45  21 M (0.46666667 0.53333333)  
##            50) texture_mean>=2.892007 12   1 B (0.91666667 0.08333333)  
##             100) compactness_se>=-3.752624 11   0 B (1.00000000 0.00000000) *
##             101) compactness_se< -3.752624 1   0 M (0.00000000 1.00000000) *
##            51) texture_mean< 2.892007 33  10 M (0.30303030 0.69696970)  
##             102) texture_mean< 2.777879 9   2 B (0.77777778 0.22222222) *
##             103) texture_mean>=2.777879 24   3 M (0.12500000 0.87500000) *
##        13) texture_mean>=2.918041 179  68 M (0.37988827 0.62011173)  
##          26) texture_mean>=2.922892 159  68 M (0.42767296 0.57232704)  
##            52) compactness_se< -4.291103 18   1 B (0.94444444 0.05555556)  
##             104) smoothness_worst< -1.43601 17   0 B (1.00000000 0.00000000) *
##             105) smoothness_worst>=-1.43601 1   0 M (0.00000000 1.00000000) *
##            53) compactness_se>=-4.291103 141  51 M (0.36170213 0.63829787)  
##             106) texture_mean< 2.943901 13   0 B (1.00000000 0.00000000) *
##             107) texture_mean>=2.943901 128  38 M (0.29687500 0.70312500) *
##          27) texture_mean< 2.922892 20   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean>=-2.155028 53   3 M (0.05660377 0.94339623)  
##        14) compactness_se< -3.950802 2   0 B (1.00000000 0.00000000) *
##        15) compactness_se>=-3.950802 51   1 M (0.01960784 0.98039216)  
##          30) symmetry_worst>=-1.359693 7   1 M (0.14285714 0.85714286)  
##            60) smoothness_mean>=-2.022167 1   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean< -2.022167 6   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst< -1.359693 44   0 M (0.00000000 1.00000000) *
## 
## $trees[[32]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 420 B (0.53947368 0.46052632)  
##     2) smoothness_mean< -2.333148 459 161 B (0.64923747 0.35076253)  
##       4) texture_mean< 2.963467 210  44 B (0.79047619 0.20952381)  
##         8) smoothness_mean>=-2.411844 101   6 B (0.94059406 0.05940594)  
##          16) texture_worst< 4.737165 99   4 B (0.95959596 0.04040404)  
##            32) symmetry_worst< -1.64088 88   1 B (0.98863636 0.01136364)  
##              64) compactness_se>=-4.460929 85   0 B (1.00000000 0.00000000) *
##              65) compactness_se< -4.460929 3   1 B (0.66666667 0.33333333) *
##            33) symmetry_worst>=-1.64088 11   3 B (0.72727273 0.27272727)  
##              66) symmetry_worst>=-1.559184 8   0 B (1.00000000 0.00000000) *
##              67) symmetry_worst< -1.559184 3   0 M (0.00000000 1.00000000) *
##          17) texture_worst>=4.737165 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.411844 109  38 B (0.65137615 0.34862385)  
##          18) smoothness_mean< -2.413908 99  28 B (0.71717172 0.28282828)  
##            36) smoothness_worst>=-1.551775 37   1 B (0.97297297 0.02702703)  
##              72) smoothness_worst< -1.455747 36   0 B (1.00000000 0.00000000) *
##              73) smoothness_worst>=-1.455747 1   0 M (0.00000000 1.00000000) *
##            37) smoothness_worst< -1.551775 62  27 B (0.56451613 0.43548387)  
##              74) smoothness_worst< -1.554151 43  12 B (0.72093023 0.27906977) *
##              75) smoothness_worst>=-1.554151 19   4 M (0.21052632 0.78947368) *
##          19) smoothness_mean>=-2.413908 10   0 M (0.00000000 1.00000000) *
##       5) texture_mean>=2.963467 249 117 B (0.53012048 0.46987952)  
##        10) texture_worst>=4.498003 218  91 B (0.58256881 0.41743119)  
##          20) smoothness_worst< -1.559798 110  30 B (0.72727273 0.27272727)  
##            40) texture_mean>=2.969886 101  21 B (0.79207921 0.20792079)  
##              80) symmetry_worst< -1.538661 93  13 B (0.86021505 0.13978495) *
##              81) symmetry_worst>=-1.538661 8   0 M (0.00000000 1.00000000) *
##            41) texture_mean< 2.969886 9   0 M (0.00000000 1.00000000) *
##          21) smoothness_worst>=-1.559798 108  47 M (0.43518519 0.56481481)  
##            42) smoothness_worst>=-1.453466 28   3 B (0.89285714 0.10714286)  
##              84) texture_mean< 3.251825 25   0 B (1.00000000 0.00000000) *
##              85) texture_mean>=3.251825 3   0 M (0.00000000 1.00000000) *
##            43) smoothness_worst< -1.453466 80  22 M (0.27500000 0.72500000)  
##              86) symmetry_worst< -2.233349 6   0 B (1.00000000 0.00000000) *
##              87) symmetry_worst>=-2.233349 74  16 M (0.21621622 0.78378378) *
##        11) texture_worst< 4.498003 31   5 M (0.16129032 0.83870968)  
##          22) texture_worst< 4.425081 7   3 B (0.57142857 0.42857143)  
##            44) compactness_se>=-4.154472 4   0 B (1.00000000 0.00000000) *
##            45) compactness_se< -4.154472 3   0 M (0.00000000 1.00000000) *
##          23) texture_worst>=4.425081 24   1 M (0.04166667 0.95833333)  
##            46) texture_mean< 2.97527 1   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.97527 23   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.333148 453 194 M (0.42825607 0.57174393)  
##       6) compactness_se< -4.040144 86  23 B (0.73255814 0.26744186)  
##        12) symmetry_worst>=-1.743442 62   8 B (0.87096774 0.12903226)  
##          24) smoothness_mean>=-2.290664 49   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean< -2.290664 13   5 M (0.38461538 0.61538462)  
##            50) smoothness_worst< -1.481717 4   0 B (1.00000000 0.00000000) *
##            51) smoothness_worst>=-1.481717 9   1 M (0.11111111 0.88888889)  
##             102) texture_mean< 2.65258 1   0 B (1.00000000 0.00000000) *
##             103) texture_mean>=2.65258 8   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -1.743442 24   9 M (0.37500000 0.62500000)  
##          26) symmetry_worst< -1.782735 13   4 B (0.69230769 0.30769231)  
##            52) smoothness_worst>=-1.595733 9   0 B (1.00000000 0.00000000) *
##            53) smoothness_worst< -1.595733 4   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-1.782735 11   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-4.040144 367 131 M (0.35694823 0.64305177)  
##        14) texture_worst< 3.947867 22   4 B (0.81818182 0.18181818)  
##          28) texture_mean>=2.515298 17   0 B (1.00000000 0.00000000) *
##          29) texture_mean< 2.515298 5   1 M (0.20000000 0.80000000)  
##            58) smoothness_mean>=-2.060513 1   0 B (1.00000000 0.00000000) *
##            59) smoothness_mean< -2.060513 4   0 M (0.00000000 1.00000000) *
##        15) texture_worst>=3.947867 345 113 M (0.32753623 0.67246377)  
##          30) smoothness_worst>=-1.515963 268 104 M (0.38805970 0.61194030)  
##            60) smoothness_mean< -2.296604 52  15 B (0.71153846 0.28846154)  
##             120) texture_worst< 4.871777 40   3 B (0.92500000 0.07500000) *
##             121) texture_worst>=4.871777 12   0 M (0.00000000 1.00000000) *
##            61) smoothness_mean>=-2.296604 216  67 M (0.31018519 0.68981481)  
##             122) smoothness_worst< -1.500666 32  11 B (0.65625000 0.34375000) *
##             123) smoothness_worst>=-1.500666 184  46 M (0.25000000 0.75000000) *
##          31) smoothness_worst< -1.515963 77   9 M (0.11688312 0.88311688)  
##            62) texture_mean>=3.212655 11   4 B (0.63636364 0.36363636)  
##             124) texture_mean< 3.321235 8   1 B (0.87500000 0.12500000) *
##             125) texture_mean>=3.321235 3   0 M (0.00000000 1.00000000) *
##            63) texture_mean< 3.212655 66   2 M (0.03030303 0.96969697)  
##             126) compactness_se>=-3.492332 9   2 M (0.22222222 0.77777778) *
##             127) compactness_se< -3.492332 57   0 M (0.00000000 1.00000000) *
## 
## $trees[[33]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 416 B (0.54385965 0.45614035)  
##    2) symmetry_worst< -1.072749 898 402 B (0.55233853 0.44766147)  
##      4) symmetry_worst>=-1.982941 737 306 B (0.58480326 0.41519674)  
##        8) texture_mean< 2.960364 366 121 B (0.66939891 0.33060109)  
##         16) texture_mean>=2.940483 54   2 B (0.96296296 0.03703704)  
##           32) smoothness_mean< -2.200472 52   0 B (1.00000000 0.00000000) *
##           33) smoothness_mean>=-2.200472 2   0 M (0.00000000 1.00000000) *
##         17) texture_mean< 2.940483 312 119 B (0.61858974 0.38141026)  
##           34) symmetry_worst< -1.932547 28   0 B (1.00000000 0.00000000) *
##           35) symmetry_worst>=-1.932547 284 119 B (0.58098592 0.41901408)  
##             70) symmetry_worst>=-1.749635 164  50 B (0.69512195 0.30487805) *
##             71) symmetry_worst< -1.749635 120  51 M (0.42500000 0.57500000) *
##        9) texture_mean>=2.960364 371 185 B (0.50134771 0.49865229)  
##         18) texture_worst>=4.753106 193  72 B (0.62694301 0.37305699)  
##           36) compactness_se>=-4.185073 144  42 B (0.70833333 0.29166667)  
##             72) texture_worst< 5.032208 107  20 B (0.81308411 0.18691589) *
##             73) texture_worst>=5.032208 37  15 M (0.40540541 0.59459459) *
##           37) compactness_se< -4.185073 49  19 M (0.38775510 0.61224490)  
##             74) compactness_se< -4.557422 22   7 B (0.68181818 0.31818182) *
##             75) compactness_se>=-4.557422 27   4 M (0.14814815 0.85185185) *
##         19) texture_worst< 4.753106 178  65 M (0.36516854 0.63483146)  
##           38) compactness_se< -4.291103 23   3 B (0.86956522 0.13043478)  
##             76) texture_mean< 2.99172 20   0 B (1.00000000 0.00000000) *
##             77) texture_mean>=2.99172 3   0 M (0.00000000 1.00000000) *
##           39) compactness_se>=-4.291103 155  45 M (0.29032258 0.70967742)  
##             78) compactness_se>=-3.897014 114  45 M (0.39473684 0.60526316) *
##             79) compactness_se< -3.897014 41   0 M (0.00000000 1.00000000) *
##      5) symmetry_worst< -1.982941 161  65 M (0.40372671 0.59627329)  
##       10) smoothness_worst< -1.604936 33   7 B (0.78787879 0.21212121)  
##         20) compactness_se< -2.951614 27   1 B (0.96296296 0.03703704)  
##           40) smoothness_mean< -2.373736 26   0 B (1.00000000 0.00000000) *
##           41) smoothness_mean>=-2.373736 1   0 M (0.00000000 1.00000000) *
##         21) compactness_se>=-2.951614 6   0 M (0.00000000 1.00000000) *
##       11) smoothness_worst>=-1.604936 128  39 M (0.30468750 0.69531250)  
##         22) smoothness_worst>=-1.59459 91  39 M (0.42857143 0.57142857)  
##           44) texture_worst< 4.605004 26   6 B (0.76923077 0.23076923)  
##             88) symmetry_worst< -1.993616 20   0 B (1.00000000 0.00000000) *
##             89) symmetry_worst>=-1.993616 6   0 M (0.00000000 1.00000000) *
##           45) texture_worst>=4.605004 65  19 M (0.29230769 0.70769231)  
##             90) texture_mean>=3.33289 7   0 B (1.00000000 0.00000000) *
##             91) texture_mean< 3.33289 58  12 M (0.20689655 0.79310345) *
##         23) smoothness_worst< -1.59459 37   0 M (0.00000000 1.00000000) *
##    3) symmetry_worst>=-1.072749 14   0 M (0.00000000 1.00000000) *
## 
## $trees[[34]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 417 B (0.54276316 0.45723684)  
##     2) symmetry_worst< -1.549706 714 291 B (0.59243697 0.40756303)  
##       4) symmetry_worst>=-1.556438 29   0 B (1.00000000 0.00000000) *
##       5) symmetry_worst< -1.556438 685 291 B (0.57518248 0.42481752)  
##        10) symmetry_worst< -1.571144 663 270 B (0.59276018 0.40723982)  
##          20) smoothness_mean>=-2.094359 27   0 B (1.00000000 0.00000000) *
##          21) smoothness_mean< -2.094359 636 270 B (0.57547170 0.42452830)  
##            42) smoothness_mean< -2.242902 548 216 B (0.60583942 0.39416058)  
##              84) smoothness_mean>=-2.276433 46   4 B (0.91304348 0.08695652) *
##              85) smoothness_mean< -2.276433 502 212 B (0.57768924 0.42231076) *
##            43) smoothness_mean>=-2.242902 88  34 M (0.38636364 0.61363636)  
##              86) texture_mean< 3.043808 61  27 B (0.55737705 0.44262295) *
##              87) texture_mean>=3.043808 27   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.571144 22   1 M (0.04545455 0.95454545)  
##          22) texture_mean< 2.734314 1   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.734314 21   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.549706 198  72 M (0.36363636 0.63636364)  
##       6) texture_worst< 4.61159 86  35 B (0.59302326 0.40697674)  
##        12) smoothness_mean< -2.162051 63  13 B (0.79365079 0.20634921)  
##          24) texture_mean< 2.956197 43   4 B (0.90697674 0.09302326)  
##            48) texture_worst>=4.255274 36   0 B (1.00000000 0.00000000) *
##            49) texture_worst< 4.255274 7   3 M (0.42857143 0.57142857)  
##              98) texture_mean< 2.777879 3   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=2.777879 4   0 M (0.00000000 1.00000000) *
##          25) texture_mean>=2.956197 20   9 B (0.55000000 0.45000000)  
##            50) smoothness_worst< -1.524656 10   1 B (0.90000000 0.10000000)  
##             100) smoothness_mean>=-2.413276 9   0 B (1.00000000 0.00000000) *
##             101) smoothness_mean< -2.413276 1   0 M (0.00000000 1.00000000) *
##            51) smoothness_worst>=-1.524656 10   2 M (0.20000000 0.80000000)  
##             102) smoothness_mean>=-2.259088 2   0 B (1.00000000 0.00000000) *
##             103) smoothness_mean< -2.259088 8   0 M (0.00000000 1.00000000) *
##        13) smoothness_mean>=-2.162051 23   1 M (0.04347826 0.95652174)  
##          26) smoothness_mean>=-2.000349 1   0 B (1.00000000 0.00000000) *
##          27) smoothness_mean< -2.000349 22   0 M (0.00000000 1.00000000) *
##       7) texture_worst>=4.61159 112  21 M (0.18750000 0.81250000)  
##        14) texture_worst>=4.771944 66  20 M (0.30303030 0.69696970)  
##          28) texture_worst< 4.860528 27   9 B (0.66666667 0.33333333)  
##            56) smoothness_mean< -2.256168 21   3 B (0.85714286 0.14285714)  
##             112) symmetry_worst< -0.9904278 18   0 B (1.00000000 0.00000000) *
##             113) symmetry_worst>=-0.9904278 3   0 M (0.00000000 1.00000000) *
##            57) smoothness_mean>=-2.256168 6   0 M (0.00000000 1.00000000) *
##          29) texture_worst>=4.860528 39   2 M (0.05128205 0.94871795)  
##            58) compactness_se< -4.410182 1   0 B (1.00000000 0.00000000) *
##            59) compactness_se>=-4.410182 38   1 M (0.02631579 0.97368421)  
##             118) smoothness_mean< -2.415476 7   1 M (0.14285714 0.85714286) *
##             119) smoothness_mean>=-2.415476 31   0 M (0.00000000 1.00000000) *
##        15) texture_worst< 4.771944 46   1 M (0.02173913 0.97826087)  
##          30) compactness_se< -4.694501 1   0 B (1.00000000 0.00000000) *
##          31) compactness_se>=-4.694501 45   0 M (0.00000000 1.00000000) *
## 
## $trees[[35]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 435 M (0.47697368 0.52302632)  
##     2) texture_mean< 2.707375 29   2 B (0.93103448 0.06896552)  
##       4) compactness_se< -3.053461 27   0 B (1.00000000 0.00000000) *
##       5) compactness_se>=-3.053461 2   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.707375 883 408 M (0.46206116 0.53793884)  
##       6) texture_worst>=4.008008 857 407 M (0.47491249 0.52508751)  
##        12) texture_mean< 3.054236 605 290 B (0.52066116 0.47933884)  
##          24) symmetry_worst< -1.786753 217  76 B (0.64976959 0.35023041)  
##            48) texture_worst< 4.84867 197  60 B (0.69543147 0.30456853)  
##              96) texture_worst>=4.467083 95  11 B (0.88421053 0.11578947) *
##              97) texture_worst< 4.467083 102  49 B (0.51960784 0.48039216) *
##            49) texture_worst>=4.84867 20   4 M (0.20000000 0.80000000)  
##              98) texture_worst>=5.007176 4   0 B (1.00000000 0.00000000) *
##              99) texture_worst< 5.007176 16   0 M (0.00000000 1.00000000) *
##          25) symmetry_worst>=-1.786753 388 174 M (0.44845361 0.55154639)  
##            50) symmetry_worst>=-1.769229 343 169 B (0.50728863 0.49271137)  
##             100) smoothness_mean< -2.216408 280 116 B (0.58571429 0.41428571) *
##             101) smoothness_mean>=-2.216408 63  10 M (0.15873016 0.84126984) *
##            51) symmetry_worst< -1.769229 45   0 M (0.00000000 1.00000000) *
##        13) texture_mean>=3.054236 252  92 M (0.36507937 0.63492063)  
##          26) smoothness_worst>=-1.551128 155  73 M (0.47096774 0.52903226)  
##            52) smoothness_mean< -2.257137 119  51 B (0.57142857 0.42857143)  
##             104) compactness_se>=-3.917958 88  27 B (0.69318182 0.30681818) *
##             105) compactness_se< -3.917958 31   7 M (0.22580645 0.77419355) *
##            53) smoothness_mean>=-2.257137 36   5 M (0.13888889 0.86111111)  
##             106) smoothness_mean>=-2.094359 6   1 B (0.83333333 0.16666667) *
##             107) smoothness_mean< -2.094359 30   0 M (0.00000000 1.00000000) *
##          27) smoothness_worst< -1.551128 97  19 M (0.19587629 0.80412371)  
##            54) smoothness_mean< -2.513024 16   6 B (0.62500000 0.37500000)  
##             108) texture_worst>=4.498003 10   0 B (1.00000000 0.00000000) *
##             109) texture_worst< 4.498003 6   0 M (0.00000000 1.00000000) *
##            55) smoothness_mean>=-2.513024 81   9 M (0.11111111 0.88888889)  
##             110) texture_worst< 4.495785 2   0 B (1.00000000 0.00000000) *
##             111) texture_worst>=4.495785 79   7 M (0.08860759 0.91139241) *
##       7) texture_worst< 4.008008 26   1 M (0.03846154 0.96153846)  
##        14) smoothness_mean>=-2.166314 1   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean< -2.166314 25   0 M (0.00000000 1.00000000) *
## 
## $trees[[36]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 398 M (0.43640351 0.56359649)  
##     2) compactness_se< -4.706178 19   1 B (0.94736842 0.05263158)  
##       4) symmetry_worst< -1.170399 18   0 B (1.00000000 0.00000000) *
##       5) symmetry_worst>=-1.170399 1   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-4.706178 893 380 M (0.42553191 0.57446809)  
##       6) compactness_se>=-4.671834 862 380 M (0.44083527 0.55916473)  
##        12) compactness_se< -3.721197 428 207 B (0.51635514 0.48364486)  
##          24) smoothness_worst< -1.520292 185  63 B (0.65945946 0.34054054)  
##            48) compactness_se>=-4.100467 65   7 B (0.89230769 0.10769231)  
##              96) texture_mean< 3.310431 60   2 B (0.96666667 0.03333333) *
##              97) texture_mean>=3.310431 5   0 M (0.00000000 1.00000000) *
##            49) compactness_se< -4.100467 120  56 B (0.53333333 0.46666667)  
##              98) texture_worst>=4.534207 68  17 B (0.75000000 0.25000000) *
##              99) texture_worst< 4.534207 52  13 M (0.25000000 0.75000000) *
##          25) smoothness_worst>=-1.520292 243  99 M (0.40740741 0.59259259)  
##            50) compactness_se>=-3.761452 20   0 B (1.00000000 0.00000000) *
##            51) compactness_se< -3.761452 223  79 M (0.35426009 0.64573991)  
##             102) compactness_se< -4.02632 91  38 B (0.58241758 0.41758242) *
##             103) compactness_se>=-4.02632 132  26 M (0.19696970 0.80303030) *
##        13) compactness_se>=-3.721197 434 159 M (0.36635945 0.63364055)  
##          26) smoothness_worst>=-1.476409 141  62 B (0.56028369 0.43971631)  
##            52) symmetry_worst< -1.343592 110  39 B (0.64545455 0.35454545)  
##             104) texture_worst< 5.04348 102  31 B (0.69607843 0.30392157) *
##             105) texture_worst>=5.04348 8   0 M (0.00000000 1.00000000) *
##            53) symmetry_worst>=-1.343592 31   8 M (0.25806452 0.74193548)  
##             106) compactness_se>=-2.646661 8   0 B (1.00000000 0.00000000) *
##             107) compactness_se< -2.646661 23   0 M (0.00000000 1.00000000) *
##          27) smoothness_worst< -1.476409 293  80 M (0.27303754 0.72696246)  
##            54) smoothness_worst< -1.5037 215  77 M (0.35813953 0.64186047)  
##             108) smoothness_worst>=-1.532817 74  31 B (0.58108108 0.41891892) *
##             109) smoothness_worst< -1.532817 141  34 M (0.24113475 0.75886525) *
##            55) smoothness_worst>=-1.5037 78   3 M (0.03846154 0.96153846)  
##             110) texture_worst< 3.981473 2   0 B (1.00000000 0.00000000) *
##             111) texture_worst>=3.981473 76   1 M (0.01315789 0.98684211) *
##       7) compactness_se< -4.671834 31   0 M (0.00000000 1.00000000) *
## 
## $trees[[37]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 378 M (0.41447368 0.58552632)  
##     2) texture_worst< 4.481821 283 129 B (0.54416961 0.45583039)  
##       4) compactness_se< -3.647113 133  43 B (0.67669173 0.32330827)  
##         8) smoothness_mean>=-2.28529 40   3 B (0.92500000 0.07500000)  
##          16) texture_mean>=2.496294 36   0 B (1.00000000 0.00000000) *
##          17) texture_mean< 2.496294 4   1 M (0.25000000 0.75000000)  
##            34) texture_mean< 2.449364 1   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.449364 3   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.28529 93  40 B (0.56989247 0.43010753)  
##          18) texture_mean< 2.755881 21   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.755881 72  32 M (0.44444444 0.55555556)  
##            38) smoothness_worst< -1.552854 22   4 B (0.81818182 0.18181818)  
##              76) smoothness_mean< -2.306694 19   1 B (0.94736842 0.05263158) *
##              77) smoothness_mean>=-2.306694 3   0 M (0.00000000 1.00000000) *
##            39) smoothness_worst>=-1.552854 50  14 M (0.28000000 0.72000000)  
##              78) texture_worst< 4.122759 8   0 B (1.00000000 0.00000000) *
##              79) texture_worst>=4.122759 42   6 M (0.14285714 0.85714286) *
##       5) compactness_se>=-3.647113 150  64 M (0.42666667 0.57333333)  
##        10) compactness_se>=-2.721974 19   0 B (1.00000000 0.00000000) *
##        11) compactness_se< -2.721974 131  45 M (0.34351145 0.65648855)  
##          22) smoothness_mean< -2.454939 9   0 B (1.00000000 0.00000000) *
##          23) smoothness_mean>=-2.454939 122  36 M (0.29508197 0.70491803)  
##            46) texture_worst< 3.888609 8   1 B (0.87500000 0.12500000)  
##              92) texture_mean>=2.44739 7   0 B (1.00000000 0.00000000) *
##              93) texture_mean< 2.44739 1   0 M (0.00000000 1.00000000) *
##            47) texture_worst>=3.888609 114  29 M (0.25438596 0.74561404)  
##              94) symmetry_worst< -1.761895 48  21 M (0.43750000 0.56250000) *
##              95) symmetry_worst>=-1.761895 66   8 M (0.12121212 0.87878788) *
##     3) texture_worst>=4.481821 629 224 M (0.35612083 0.64387917)  
##       6) symmetry_worst< -1.367423 587 223 M (0.37989779 0.62010221)  
##        12) smoothness_mean>=-2.093138 13   0 B (1.00000000 0.00000000) *
##        13) smoothness_mean< -2.093138 574 210 M (0.36585366 0.63414634)  
##          26) smoothness_worst< -1.558926 172  85 B (0.50581395 0.49418605)  
##            52) smoothness_mean>=-2.4986 120  45 B (0.62500000 0.37500000)  
##             104) texture_mean< 3.147592 84  21 B (0.75000000 0.25000000) *
##             105) texture_mean>=3.147592 36  12 M (0.33333333 0.66666667) *
##            53) smoothness_mean< -2.4986 52  12 M (0.23076923 0.76923077)  
##             106) smoothness_mean< -2.564711 13   4 B (0.69230769 0.30769231) *
##             107) smoothness_mean>=-2.564711 39   3 M (0.07692308 0.92307692) *
##          27) smoothness_worst>=-1.558926 402 123 M (0.30597015 0.69402985)  
##            54) symmetry_worst< -2.156952 38  17 B (0.55263158 0.44736842)  
##             108) smoothness_worst>=-1.477788 11   0 B (1.00000000 0.00000000) *
##             109) smoothness_worst< -1.477788 27  10 M (0.37037037 0.62962963) *
##            55) symmetry_worst>=-2.156952 364 102 M (0.28021978 0.71978022)  
##             110) symmetry_worst>=-1.982157 316 101 M (0.31962025 0.68037975) *
##             111) symmetry_worst< -1.982157 48   1 M (0.02083333 0.97916667) *
##       7) symmetry_worst>=-1.367423 42   1 M (0.02380952 0.97619048)  
##        14) smoothness_worst< -1.496291 7   1 M (0.14285714 0.85714286)  
##          28) smoothness_mean>=-2.311841 1   0 B (1.00000000 0.00000000) *
##          29) smoothness_mean< -2.311841 6   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.496291 35   0 M (0.00000000 1.00000000) *
## 
## $trees[[38]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 437 B (0.52083333 0.47916667)  
##     2) texture_worst< 4.389172 215  72 B (0.66511628 0.33488372)  
##       4) texture_worst>=4.352293 52   4 B (0.92307692 0.07692308)  
##         8) smoothness_mean>=-2.515683 50   2 B (0.96000000 0.04000000)  
##          16) compactness_se< -3.100689 48   0 B (1.00000000 0.00000000) *
##          17) compactness_se>=-3.100689 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.515683 2   0 M (0.00000000 1.00000000) *
##       5) texture_worst< 4.352293 163  68 B (0.58282209 0.41717791)  
##        10) compactness_se< -3.964431 39   4 B (0.89743590 0.10256410)  
##          20) texture_worst< 4.277159 31   0 B (1.00000000 0.00000000) *
##          21) texture_worst>=4.277159 8   4 B (0.50000000 0.50000000)  
##            42) compactness_se< -4.303898 4   0 B (1.00000000 0.00000000) *
##            43) compactness_se>=-4.303898 4   0 M (0.00000000 1.00000000) *
##        11) compactness_se>=-3.964431 124  60 M (0.48387097 0.51612903)  
##          22) compactness_se>=-2.774155 13   0 B (1.00000000 0.00000000) *
##          23) compactness_se< -2.774155 111  47 M (0.42342342 0.57657658)  
##            46) texture_worst< 4.30106 97  47 M (0.48453608 0.51546392)  
##              92) texture_mean>=2.771335 44  13 B (0.70454545 0.29545455) *
##              93) texture_mean< 2.771335 53  16 M (0.30188679 0.69811321) *
##            47) texture_worst>=4.30106 14   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.389172 697 332 M (0.47632712 0.52367288)  
##       6) symmetry_worst< -1.369089 668 330 M (0.49401198 0.50598802)  
##        12) symmetry_worst>=-1.47813 38   6 B (0.84210526 0.15789474)  
##          24) smoothness_mean< -2.34398 28   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean>=-2.34398 10   4 M (0.40000000 0.60000000)  
##            50) texture_mean< 2.946426 3   0 B (1.00000000 0.00000000) *
##            51) texture_mean>=2.946426 7   1 M (0.14285714 0.85714286)  
##             102) texture_mean>=3.201594 1   0 B (1.00000000 0.00000000) *
##             103) texture_mean< 3.201594 6   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -1.47813 630 298 M (0.47301587 0.52698413)  
##          26) compactness_se>=-4.098353 446 213 B (0.52242152 0.47757848)  
##            52) compactness_se< -4.040144 32   1 B (0.96875000 0.03125000)  
##             104) texture_mean< 3.112668 31   0 B (1.00000000 0.00000000) *
##             105) texture_mean>=3.112668 1   0 M (0.00000000 1.00000000) *
##            53) compactness_se>=-4.040144 414 202 M (0.48792271 0.51207729)  
##             106) smoothness_mean< -2.39816 137  49 B (0.64233577 0.35766423) *
##             107) smoothness_mean>=-2.39816 277 114 M (0.41155235 0.58844765) *
##          27) compactness_se< -4.098353 184  65 M (0.35326087 0.64673913)  
##            54) compactness_se< -4.104699 162  65 M (0.40123457 0.59876543)  
##             108) smoothness_worst< -1.501474 108  54 B (0.50000000 0.50000000) *
##             109) smoothness_worst>=-1.501474 54  11 M (0.20370370 0.79629630) *
##            55) compactness_se>=-4.104699 22   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.369089 29   2 M (0.06896552 0.93103448)  
##        14) smoothness_worst< -1.496291 4   2 B (0.50000000 0.50000000)  
##          28) texture_mean< 3.158816 2   0 B (1.00000000 0.00000000) *
##          29) texture_mean>=3.158816 2   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.496291 25   0 M (0.00000000 1.00000000) *
## 
## $trees[[39]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 452 B (0.50438596 0.49561404)  
##     2) texture_mean< 3.054236 634 274 B (0.56782334 0.43217666)  
##       4) texture_mean>=2.987952 157  36 B (0.77070064 0.22929936)  
##         8) texture_worst< 4.682677 93  11 B (0.88172043 0.11827957)  
##          16) smoothness_worst>=-1.520707 80   6 B (0.92500000 0.07500000)  
##            32) compactness_se< -3.02233 77   3 B (0.96103896 0.03896104)  
##              64) smoothness_worst< -1.462341 64   0 B (1.00000000 0.00000000) *
##              65) smoothness_worst>=-1.462341 13   3 B (0.76923077 0.23076923) *
##            33) compactness_se>=-3.02233 3   0 M (0.00000000 1.00000000) *
##          17) smoothness_worst< -1.520707 13   5 B (0.61538462 0.38461538)  
##            34) compactness_se>=-3.433938 7   0 B (1.00000000 0.00000000) *
##            35) compactness_se< -3.433938 6   1 M (0.16666667 0.83333333)  
##              70) texture_mean>=3.031337 1   0 B (1.00000000 0.00000000) *
##              71) texture_mean< 3.031337 5   0 M (0.00000000 1.00000000) *
##         9) texture_worst>=4.682677 64  25 B (0.60937500 0.39062500)  
##          18) texture_worst>=4.768598 43   6 B (0.86046512 0.13953488)  
##            36) smoothness_mean< -2.179812 40   3 B (0.92500000 0.07500000)  
##              72) symmetry_worst< -1.317527 38   1 B (0.97368421 0.02631579) *
##              73) symmetry_worst>=-1.317527 2   0 M (0.00000000 1.00000000) *
##            37) smoothness_mean>=-2.179812 3   0 M (0.00000000 1.00000000) *
##          19) texture_worst< 4.768598 21   2 M (0.09523810 0.90476190)  
##            38) smoothness_mean< -2.387928 3   1 B (0.66666667 0.33333333)  
##              76) texture_mean>=3.00906 2   0 B (1.00000000 0.00000000) *
##              77) texture_mean< 3.00906 1   0 M (0.00000000 1.00000000) *
##            39) smoothness_mean>=-2.387928 18   0 M (0.00000000 1.00000000) *
##       5) texture_mean< 2.987952 477 238 B (0.50104822 0.49895178)  
##        10) texture_worst< 4.771322 459 220 B (0.52069717 0.47930283)  
##          20) texture_worst< 3.810659 17   0 B (1.00000000 0.00000000) *
##          21) texture_worst>=3.810659 442 220 B (0.50226244 0.49773756)  
##            42) smoothness_worst< -1.520292 172  65 B (0.62209302 0.37790698)  
##              84) smoothness_worst>=-1.541066 41   2 B (0.95121951 0.04878049) *
##              85) smoothness_worst< -1.541066 131  63 B (0.51908397 0.48091603) *
##            43) smoothness_worst>=-1.520292 270 115 M (0.42592593 0.57407407)  
##              86) smoothness_worst>=-1.478565 159  73 B (0.54088050 0.45911950) *
##              87) smoothness_worst< -1.478565 111  29 M (0.26126126 0.73873874) *
##        11) texture_worst>=4.771322 18   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=3.054236 278 100 M (0.35971223 0.64028777)  
##       6) texture_worst>=4.745147 197  91 M (0.46192893 0.53807107)  
##        12) smoothness_worst< -1.618721 17   1 B (0.94117647 0.05882353)  
##          24) smoothness_mean< -2.337942 16   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean>=-2.337942 1   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst>=-1.618721 180  75 M (0.41666667 0.58333333)  
##          26) texture_mean>=3.173668 106  47 B (0.55660377 0.44339623)  
##            52) symmetry_worst>=-1.813091 56  16 B (0.71428571 0.28571429)  
##             104) smoothness_mean< -2.3667 33   2 B (0.93939394 0.06060606) *
##             105) smoothness_mean>=-2.3667 23   9 M (0.39130435 0.60869565) *
##            53) symmetry_worst< -1.813091 50  19 M (0.38000000 0.62000000)  
##             106) texture_worst< 4.907333 6   0 B (1.00000000 0.00000000) *
##             107) texture_worst>=4.907333 44  13 M (0.29545455 0.70454545) *
##          27) texture_mean< 3.173668 74  16 M (0.21621622 0.78378378)  
##            54) texture_worst< 4.818867 15   6 B (0.60000000 0.40000000)  
##             108) smoothness_mean>=-2.321477 8   0 B (1.00000000 0.00000000) *
##             109) smoothness_mean< -2.321477 7   1 M (0.14285714 0.85714286) *
##            55) texture_worst>=4.818867 59   7 M (0.11864407 0.88135593)  
##             110) smoothness_worst>=-1.441178 12   5 M (0.41666667 0.58333333) *
##             111) smoothness_worst< -1.441178 47   2 M (0.04255319 0.95744681) *
##       7) texture_worst< 4.745147 81   9 M (0.11111111 0.88888889)  
##        14) smoothness_worst< -1.606352 19   7 M (0.36842105 0.63157895)  
##          28) smoothness_mean>=-2.603563 7   0 B (1.00000000 0.00000000) *
##          29) smoothness_mean< -2.603563 12   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.606352 62   2 M (0.03225806 0.96774194)  
##          30) smoothness_worst>=-1.460829 2   0 B (1.00000000 0.00000000) *
##          31) smoothness_worst< -1.460829 60   0 M (0.00000000 1.00000000) *
## 
## $trees[[40]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 449 B (0.50767544 0.49232456)  
##     2) symmetry_worst< -1.658507 572 245 B (0.57167832 0.42832168)  
##       4) symmetry_worst>=-1.749963 127  28 B (0.77952756 0.22047244)  
##         8) texture_mean< 2.955415 58   3 B (0.94827586 0.05172414)  
##          16) smoothness_mean< -2.229216 51   0 B (1.00000000 0.00000000) *
##          17) smoothness_mean>=-2.229216 7   3 B (0.57142857 0.42857143)  
##            34) texture_mean< 2.850534 4   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.850534 3   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=2.955415 69  25 B (0.63768116 0.36231884)  
##          18) texture_mean>=2.987952 54  10 B (0.81481481 0.18518519)  
##            36) smoothness_worst< -1.350437 52   8 B (0.84615385 0.15384615)  
##              72) compactness_se>=-4.671834 48   5 B (0.89583333 0.10416667) *
##              73) compactness_se< -4.671834 4   1 M (0.25000000 0.75000000) *
##            37) smoothness_worst>=-1.350437 2   0 M (0.00000000 1.00000000) *
##          19) texture_mean< 2.987952 15   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst< -1.749963 445 217 B (0.51235955 0.48764045)  
##        10) symmetry_worst< -1.758895 412 185 B (0.55097087 0.44902913)  
##          20) smoothness_mean>=-2.283768 89  21 B (0.76404494 0.23595506)  
##            40) texture_mean< 2.911524 41   0 B (1.00000000 0.00000000) *
##            41) texture_mean>=2.911524 48  21 B (0.56250000 0.43750000)  
##              82) texture_mean>=2.98971 38  11 B (0.71052632 0.28947368) *
##              83) texture_mean< 2.98971 10   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean< -2.283768 323 159 M (0.49226006 0.50773994)  
##            42) texture_mean>=2.900868 211  79 B (0.62559242 0.37440758)  
##              84) smoothness_mean>=-2.350004 60   8 B (0.86666667 0.13333333) *
##              85) smoothness_mean< -2.350004 151  71 B (0.52980132 0.47019868) *
##            43) texture_mean< 2.900868 112  27 M (0.24107143 0.75892857)  
##              86) compactness_se>=-3.429017 7   0 B (1.00000000 0.00000000) *
##              87) compactness_se< -3.429017 105  20 M (0.19047619 0.80952381) *
##        11) symmetry_worst>=-1.758895 33   1 M (0.03030303 0.96969697)  
##          22) texture_mean< 2.788049 1   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.788049 32   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.658507 340 136 M (0.40000000 0.60000000)  
##       6) symmetry_worst>=-1.631266 300 133 M (0.44333333 0.55666667)  
##        12) texture_mean>=3.212437 28   5 B (0.82142857 0.17857143)  
##          24) texture_mean< 3.257149 25   2 B (0.92000000 0.08000000)  
##            48) smoothness_mean< -2.312592 23   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean>=-2.312592 2   0 M (0.00000000 1.00000000) *
##          25) texture_mean>=3.257149 3   0 M (0.00000000 1.00000000) *
##        13) texture_mean< 3.212437 272 110 M (0.40441176 0.59558824)  
##          26) texture_worst< 4.614159 149  65 B (0.56375839 0.43624161)  
##            52) smoothness_worst< -1.451541 90  27 B (0.70000000 0.30000000)  
##             104) smoothness_mean>=-2.501755 80  17 B (0.78750000 0.21250000) *
##             105) smoothness_mean< -2.501755 10   0 M (0.00000000 1.00000000) *
##            53) smoothness_worst>=-1.451541 59  21 M (0.35593220 0.64406780)  
##             106) smoothness_worst>=-1.434633 39  18 B (0.53846154 0.46153846) *
##             107) smoothness_worst< -1.434633 20   0 M (0.00000000 1.00000000) *
##          27) texture_worst>=4.614159 123  26 M (0.21138211 0.78861789)  
##            54) smoothness_worst< -1.618016 7   1 B (0.85714286 0.14285714)  
##             108) texture_mean>=3.046131 6   0 B (1.00000000 0.00000000) *
##             109) texture_mean< 3.046131 1   0 M (0.00000000 1.00000000) *
##            55) smoothness_worst>=-1.618016 116  20 M (0.17241379 0.82758621)  
##             110) compactness_se< -4.694501 3   0 B (1.00000000 0.00000000) *
##             111) compactness_se>=-4.694501 113  17 M (0.15044248 0.84955752) *
##       7) symmetry_worst< -1.631266 40   3 M (0.07500000 0.92500000)  
##        14) texture_mean< 2.561441 2   0 B (1.00000000 0.00000000) *
##        15) texture_mean>=2.561441 38   1 M (0.02631579 0.97368421)  
##          30) smoothness_mean>=-2.309464 7   1 M (0.14285714 0.85714286)  
##            60) texture_mean< 2.925843 1   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=2.925843 6   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean< -2.309464 31   0 M (0.00000000 1.00000000) *
## 
## $trees[[41]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 414 M (0.45394737 0.54605263)  
##     2) smoothness_worst>=-1.568787 712 355 B (0.50140449 0.49859551)  
##       4) smoothness_mean< -2.488015 17   0 B (1.00000000 0.00000000) *
##       5) smoothness_mean>=-2.488015 695 340 M (0.48920863 0.51079137)  
##        10) smoothness_mean>=-2.44559 630 300 B (0.52380952 0.47619048)  
##          20) smoothness_mean< -2.425205 29   1 B (0.96551724 0.03448276)  
##            40) symmetry_worst>=-1.98453 28   0 B (1.00000000 0.00000000) *
##            41) symmetry_worst< -1.98453 1   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean>=-2.425205 601 299 B (0.50249584 0.49750416)  
##            42) symmetry_worst< -2.207988 32   3 B (0.90625000 0.09375000)  
##              84) compactness_se< -3.371137 27   0 B (1.00000000 0.00000000) *
##              85) compactness_se>=-3.371137 5   2 M (0.40000000 0.60000000) *
##            43) symmetry_worst>=-2.207988 569 273 M (0.47978910 0.52021090)  
##              86) texture_mean< 3.054236 452 217 B (0.51991150 0.48008850) *
##              87) texture_mean>=3.054236 117  38 M (0.32478632 0.67521368) *
##        11) smoothness_mean< -2.44559 65  10 M (0.15384615 0.84615385)  
##          22) smoothness_worst< -1.558711 7   0 B (1.00000000 0.00000000) *
##          23) smoothness_worst>=-1.558711 58   3 M (0.05172414 0.94827586)  
##            46) texture_mean< 2.868712 2   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.868712 56   1 M (0.01785714 0.98214286)  
##              94) smoothness_mean< -2.476583 20   1 M (0.05000000 0.95000000) *
##              95) smoothness_mean>=-2.476583 36   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst< -1.568787 200  57 M (0.28500000 0.71500000)  
##       6) smoothness_worst< -1.584838 148  54 M (0.36486486 0.63513514)  
##        12) smoothness_worst>=-1.593678 17   2 B (0.88235294 0.11764706)  
##          24) texture_mean< 3.249715 15   0 B (1.00000000 0.00000000) *
##          25) texture_mean>=3.249715 2   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst< -1.593678 131  39 M (0.29770992 0.70229008)  
##          26) smoothness_worst< -1.622503 65  30 M (0.46153846 0.53846154)  
##            52) texture_worst>=4.576562 21   1 B (0.95238095 0.04761905)  
##             104) symmetry_worst< -1.18694 20   0 B (1.00000000 0.00000000) *
##             105) symmetry_worst>=-1.18694 1   0 M (0.00000000 1.00000000) *
##            53) texture_worst< 4.576562 44  10 M (0.22727273 0.77272727)  
##             106) texture_mean< 2.935975 7   0 B (1.00000000 0.00000000) *
##             107) texture_mean>=2.935975 37   3 M (0.08108108 0.91891892) *
##          27) smoothness_worst>=-1.622503 66   9 M (0.13636364 0.86363636)  
##            54) smoothness_mean< -2.555916 2   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean>=-2.555916 64   7 M (0.10937500 0.89062500)  
##             110) compactness_se< -4.899363 2   0 B (1.00000000 0.00000000) *
##             111) compactness_se>=-4.899363 62   5 M (0.08064516 0.91935484) *
##       7) smoothness_worst>=-1.584838 52   3 M (0.05769231 0.94230769)  
##        14) texture_mean< 2.926894 4   1 B (0.75000000 0.25000000)  
##          28) texture_mean>=2.736085 3   0 B (1.00000000 0.00000000) *
##          29) texture_mean< 2.736085 1   0 M (0.00000000 1.00000000) *
##        15) texture_mean>=2.926894 48   0 M (0.00000000 1.00000000) *
## 
## $trees[[42]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 366 M (0.40131579 0.59868421)  
##     2) texture_worst< 3.804403 16   0 B (1.00000000 0.00000000) *
##     3) texture_worst>=3.804403 896 350 M (0.39062500 0.60937500)  
##       6) smoothness_worst< -1.482502 539 242 M (0.44897959 0.55102041)  
##        12) smoothness_worst>=-1.484675 25   0 B (1.00000000 0.00000000) *
##        13) smoothness_worst< -1.484675 514 217 M (0.42217899 0.57782101)  
##          26) texture_worst< 4.611968 250 116 B (0.53600000 0.46400000)  
##            52) smoothness_mean< -2.172878 237 103 B (0.56540084 0.43459916)  
##             104) smoothness_mean>=-2.231196 23   0 B (1.00000000 0.00000000) *
##             105) smoothness_mean< -2.231196 214 103 B (0.51869159 0.48130841) *
##            53) smoothness_mean>=-2.172878 13   0 M (0.00000000 1.00000000) *
##          27) texture_worst>=4.611968 264  83 M (0.31439394 0.68560606)  
##            54) texture_mean>=3.074542 127  60 M (0.47244094 0.52755906)  
##             108) compactness_se< -3.477558 90  35 B (0.61111111 0.38888889) *
##             109) compactness_se>=-3.477558 37   5 M (0.13513514 0.86486486) *
##            55) texture_mean< 3.074542 137  23 M (0.16788321 0.83211679)  
##             110) compactness_se< -4.717333 6   0 B (1.00000000 0.00000000) *
##             111) compactness_se>=-4.717333 131  17 M (0.12977099 0.87022901) *
##       7) smoothness_worst>=-1.482502 357 108 M (0.30252101 0.69747899)  
##        14) texture_worst>=4.635614 110  54 M (0.49090909 0.50909091)  
##          28) smoothness_worst>=-1.465518 69  25 B (0.63768116 0.36231884)  
##            56) symmetry_worst< -1.41032 60  16 B (0.73333333 0.26666667)  
##             112) smoothness_mean< -2.28279 23   1 B (0.95652174 0.04347826) *
##             113) smoothness_mean>=-2.28279 37  15 B (0.59459459 0.40540541) *
##            57) symmetry_worst>=-1.41032 9   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst< -1.465518 41  10 M (0.24390244 0.75609756)  
##            58) texture_worst< 4.693641 8   0 B (1.00000000 0.00000000) *
##            59) texture_worst>=4.693641 33   2 M (0.06060606 0.93939394)  
##             118) texture_mean< 2.978826 2   0 B (1.00000000 0.00000000) *
##             119) texture_mean>=2.978826 31   0 M (0.00000000 1.00000000) *
##        15) texture_worst< 4.635614 247  54 M (0.21862348 0.78137652)  
##          30) compactness_se< -4.224437 8   0 B (1.00000000 0.00000000) *
##          31) compactness_se>=-4.224437 239  46 M (0.19246862 0.80753138)  
##            62) texture_mean< 2.932513 166  46 M (0.27710843 0.72289157)  
##             124) texture_mean>=2.870166 21   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 2.870166 145  25 M (0.17241379 0.82758621) *
##            63) texture_mean>=2.932513 73   0 M (0.00000000 1.00000000) *
## 
## $trees[[43]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 367 M (0.40241228 0.59758772)  
##     2) texture_mean< 2.652171 17   1 B (0.94117647 0.05882353)  
##       4) texture_mean>=2.487336 13   0 B (1.00000000 0.00000000) *
##       5) texture_mean< 2.487336 4   1 B (0.75000000 0.25000000)  
##        10) texture_mean< 2.434062 3   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.434062 1   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.652171 895 351 M (0.39217877 0.60782123)  
##       6) compactness_se< -4.706178 8   0 B (1.00000000 0.00000000) *
##       7) compactness_se>=-4.706178 887 343 M (0.38669673 0.61330327)  
##        14) compactness_se>=-4.676462 860 342 M (0.39767442 0.60232558)  
##          28) compactness_se< -4.618319 9   0 B (1.00000000 0.00000000) *
##          29) compactness_se>=-4.618319 851 333 M (0.39130435 0.60869565)  
##            58) symmetry_worst< -1.366937 801 325 M (0.40574282 0.59425718)  
##             116) symmetry_worst>=-1.557842 115  46 B (0.60000000 0.40000000) *
##             117) symmetry_worst< -1.557842 686 256 M (0.37317784 0.62682216) *
##            59) symmetry_worst>=-1.366937 50   8 M (0.16000000 0.84000000)  
##             118) compactness_se>=-2.588521 4   0 B (1.00000000 0.00000000) *
##             119) compactness_se< -2.588521 46   4 M (0.08695652 0.91304348) *
##        15) compactness_se< -4.676462 27   1 M (0.03703704 0.96296296)  
##          30) smoothness_mean>=-2.441817 1   0 B (1.00000000 0.00000000) *
##          31) smoothness_mean< -2.441817 26   0 M (0.00000000 1.00000000) *
## 
## $trees[[44]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 411 M (0.45065789 0.54934211)  
##     2) compactness_se>=-3.93685 576 287 M (0.49826389 0.50173611)  
##       4) compactness_se< -3.885144 29   3 B (0.89655172 0.10344828)  
##         8) texture_mean< 3.273871 26   0 B (1.00000000 0.00000000) *
##         9) texture_mean>=3.273871 3   0 M (0.00000000 1.00000000) *
##       5) compactness_se>=-3.885144 547 261 M (0.47714808 0.52285192)  
##        10) symmetry_worst< -1.541072 451 217 B (0.51884701 0.48115299)  
##          20) compactness_se>=-3.867535 426 194 B (0.54460094 0.45539906)  
##            40) compactness_se< -3.721197 64  10 B (0.84375000 0.15625000)  
##              80) smoothness_worst< -1.461024 49   0 B (1.00000000 0.00000000) *
##              81) smoothness_worst>=-1.461024 15   5 M (0.33333333 0.66666667) *
##            41) compactness_se>=-3.721197 362 178 M (0.49171271 0.50828729)  
##              82) compactness_se>=-3.696318 335 157 B (0.53134328 0.46865672) *
##              83) compactness_se< -3.696318 27   0 M (0.00000000 1.00000000) *
##          21) compactness_se< -3.867535 25   2 M (0.08000000 0.92000000)  
##            42) texture_mean< 2.689116 2   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.689116 23   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.541072 96  27 M (0.28125000 0.71875000)  
##          22) smoothness_mean< -2.294142 29  11 B (0.62068966 0.37931034)  
##            44) texture_worst< 4.89177 22   4 B (0.81818182 0.18181818)  
##              88) smoothness_worst>=-1.553939 19   1 B (0.94736842 0.05263158) *
##              89) smoothness_worst< -1.553939 3   0 M (0.00000000 1.00000000) *
##            45) texture_worst>=4.89177 7   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean>=-2.294142 67   9 M (0.13432836 0.86567164)  
##            46) smoothness_mean< -2.226551 31   9 M (0.29032258 0.70967742)  
##              92) smoothness_mean>=-2.230731 7   0 B (1.00000000 0.00000000) *
##              93) smoothness_mean< -2.230731 24   2 M (0.08333333 0.91666667) *
##            47) smoothness_mean>=-2.226551 36   0 M (0.00000000 1.00000000) *
##     3) compactness_se< -3.93685 336 124 M (0.36904762 0.63095238)  
##       6) texture_mean< 2.803913 21   0 B (1.00000000 0.00000000) *
##       7) texture_mean>=2.803913 315 103 M (0.32698413 0.67301587)  
##        14) smoothness_mean>=-2.291157 60  26 B (0.56666667 0.43333333)  
##          28) smoothness_worst< -1.469397 21   0 B (1.00000000 0.00000000) *
##          29) smoothness_worst>=-1.469397 39  13 M (0.33333333 0.66666667)  
##            58) compactness_se< -4.048185 23  10 B (0.56521739 0.43478261)  
##             116) symmetry_worst>=-1.743442 12   0 B (1.00000000 0.00000000) *
##             117) symmetry_worst< -1.743442 11   1 M (0.09090909 0.90909091) *
##            59) compactness_se>=-4.048185 16   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean< -2.291157 255  69 M (0.27058824 0.72941176)  
##          30) texture_mean>=3.221069 19   5 B (0.73684211 0.26315789)  
##            60) compactness_se< -4.317414 14   0 B (1.00000000 0.00000000) *
##            61) compactness_se>=-4.317414 5   0 M (0.00000000 1.00000000) *
##          31) texture_mean< 3.221069 236  55 M (0.23305085 0.76694915)  
##            62) smoothness_worst< -1.555669 86  33 M (0.38372093 0.61627907)  
##             124) smoothness_worst>=-1.570555 9   0 B (1.00000000 0.00000000) *
##             125) smoothness_worst< -1.570555 77  24 M (0.31168831 0.68831169) *
##            63) smoothness_worst>=-1.555669 150  22 M (0.14666667 0.85333333)  
##             126) symmetry_worst< -2.212871 2   0 B (1.00000000 0.00000000) *
##             127) symmetry_worst>=-2.212871 148  20 M (0.13513514 0.86486486) *
## 
## $trees[[45]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 377 M (0.41337719 0.58662281)  
##     2) compactness_se< -3.721197 430 203 M (0.47209302 0.52790698)  
##       4) compactness_se>=-3.742175 19   0 B (1.00000000 0.00000000) *
##       5) compactness_se< -3.742175 411 184 M (0.44768856 0.55231144)  
##        10) texture_mean< 2.892591 124  49 B (0.60483871 0.39516129)  
##          20) smoothness_worst< -1.451541 106  34 B (0.67924528 0.32075472)  
##            40) compactness_se>=-4.159844 48   6 B (0.87500000 0.12500000)  
##              80) smoothness_mean< -2.296106 33   0 B (1.00000000 0.00000000) *
##              81) smoothness_mean>=-2.296106 15   6 B (0.60000000 0.40000000) *
##            41) compactness_se< -4.159844 58  28 B (0.51724138 0.48275862)  
##              82) texture_worst>=4.626933 14   0 B (1.00000000 0.00000000) *
##              83) texture_worst< 4.626933 44  16 M (0.36363636 0.63636364) *
##          21) smoothness_worst>=-1.451541 18   3 M (0.16666667 0.83333333)  
##            42) smoothness_worst>=-1.414845 3   0 B (1.00000000 0.00000000) *
##            43) smoothness_worst< -1.414845 15   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=2.892591 287 109 M (0.37979094 0.62020906)  
##          22) texture_worst>=4.487228 248 104 M (0.41935484 0.58064516)  
##            44) symmetry_worst< -2.052205 32   8 B (0.75000000 0.25000000)  
##              88) smoothness_mean< -2.392268 16   0 B (1.00000000 0.00000000) *
##              89) smoothness_mean>=-2.392268 16   8 B (0.50000000 0.50000000) *
##            45) symmetry_worst>=-2.052205 216  80 M (0.37037037 0.62962963)  
##              90) texture_worst< 4.505285 9   0 B (1.00000000 0.00000000) *
##              91) texture_worst>=4.505285 207  71 M (0.34299517 0.65700483) *
##          23) texture_worst< 4.487228 39   5 M (0.12820513 0.87179487)  
##            46) compactness_se>=-3.811732 3   0 B (1.00000000 0.00000000) *
##            47) compactness_se< -3.811732 36   2 M (0.05555556 0.94444444)  
##              94) smoothness_mean>=-2.249224 1   0 B (1.00000000 0.00000000) *
##              95) smoothness_mean< -2.249224 35   1 M (0.02857143 0.97142857) *
##     3) compactness_se>=-3.721197 482 174 M (0.36099585 0.63900415)  
##       6) symmetry_worst< -1.840831 169  82 M (0.48520710 0.51479290)  
##        12) symmetry_worst>=-1.982941 66  18 B (0.72727273 0.27272727)  
##          24) texture_mean< 3.078534 48   0 B (1.00000000 0.00000000) *
##          25) texture_mean>=3.078534 18   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -1.982941 103  34 M (0.33009709 0.66990291)  
##          26) compactness_se< -3.611952 15   0 B (1.00000000 0.00000000) *
##          27) compactness_se>=-3.611952 88  19 M (0.21590909 0.78409091)  
##            54) texture_worst>=5.255485 5   0 B (1.00000000 0.00000000) *
##            55) texture_worst< 5.255485 83  14 M (0.16867470 0.83132530)  
##             110) texture_mean< 2.754513 4   0 B (1.00000000 0.00000000) *
##             111) texture_mean>=2.754513 79  10 M (0.12658228 0.87341772) *
##       7) symmetry_worst>=-1.840831 313  92 M (0.29392971 0.70607029)  
##        14) compactness_se>=-3.494301 197  77 M (0.39086294 0.60913706)  
##          28) smoothness_worst>=-1.351748 20   2 B (0.90000000 0.10000000)  
##            56) symmetry_worst< -1.527511 18   0 B (1.00000000 0.00000000) *
##            57) symmetry_worst>=-1.527511 2   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst< -1.351748 177  59 M (0.33333333 0.66666667)  
##            58) compactness_se< -3.483184 9   0 B (1.00000000 0.00000000) *
##            59) compactness_se>=-3.483184 168  50 M (0.29761905 0.70238095)  
##             118) smoothness_mean< -2.412109 25   8 B (0.68000000 0.32000000) *
##             119) smoothness_mean>=-2.412109 143  33 M (0.23076923 0.76923077) *
##        15) compactness_se< -3.494301 116  15 M (0.12931034 0.87068966)  
##          30) smoothness_worst< -1.587787 22   9 M (0.40909091 0.59090909)  
##            60) texture_mean>=2.945474 9   0 B (1.00000000 0.00000000) *
##            61) texture_mean< 2.945474 13   0 M (0.00000000 1.00000000) *
##          31) smoothness_worst>=-1.587787 94   6 M (0.06382979 0.93617021)  
##            62) compactness_se< -3.681134 15   6 M (0.40000000 0.60000000)  
##             124) compactness_se>=-3.696318 7   1 B (0.85714286 0.14285714) *
##             125) compactness_se< -3.696318 8   0 M (0.00000000 1.00000000) *
##            63) compactness_se>=-3.681134 79   0 M (0.00000000 1.00000000) *
## 
## $trees[[46]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 438 M (0.48026316 0.51973684)  
##     2) compactness_se< -3.721197 426 178 B (0.58215962 0.41784038)  
##       4) symmetry_worst>=-1.926862 326 113 B (0.65337423 0.34662577)  
##         8) compactness_se>=-3.905795 82  12 B (0.85365854 0.14634146)  
##          16) smoothness_worst< -1.450791 59   1 B (0.98305085 0.01694915)  
##            32) symmetry_worst< -1.482402 54   0 B (1.00000000 0.00000000) *
##            33) symmetry_worst>=-1.482402 5   1 B (0.80000000 0.20000000)  
##              66) texture_mean< 2.948515 4   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=2.948515 1   0 M (0.00000000 1.00000000) *
##          17) smoothness_worst>=-1.450791 23  11 B (0.52173913 0.47826087)  
##            34) symmetry_worst< -1.671391 15   3 B (0.80000000 0.20000000)  
##              68) texture_mean< 2.971675 12   0 B (1.00000000 0.00000000) *
##              69) texture_mean>=2.971675 3   0 M (0.00000000 1.00000000) *
##            35) symmetry_worst>=-1.671391 8   0 M (0.00000000 1.00000000) *
##         9) compactness_se< -3.905795 244 101 B (0.58606557 0.41393443)  
##          18) compactness_se< -4.025757 208  73 B (0.64903846 0.35096154)  
##            36) smoothness_worst>=-1.454603 43   1 B (0.97674419 0.02325581)  
##              72) smoothness_mean< -2.222419 39   0 B (1.00000000 0.00000000) *
##              73) smoothness_mean>=-2.222419 4   1 B (0.75000000 0.25000000) *
##            37) smoothness_worst< -1.454603 165  72 B (0.56363636 0.43636364)  
##              74) texture_worst< 5.110945 143  55 B (0.61538462 0.38461538) *
##              75) texture_worst>=5.110945 22   5 M (0.22727273 0.77272727) *
##          19) compactness_se>=-4.025757 36   8 M (0.22222222 0.77777778)  
##            38) smoothness_worst< -1.534853 5   0 B (1.00000000 0.00000000) *
##            39) smoothness_worst>=-1.534853 31   3 M (0.09677419 0.90322581)  
##              78) texture_worst< 4.429976 5   2 B (0.60000000 0.40000000) *
##              79) texture_worst>=4.429976 26   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst< -1.926862 100  35 M (0.35000000 0.65000000)  
##        10) compactness_se< -3.8849 81  35 M (0.43209877 0.56790123)  
##          20) texture_mean< 2.846651 12   0 B (1.00000000 0.00000000) *
##          21) texture_mean>=2.846651 69  23 M (0.33333333 0.66666667)  
##            42) compactness_se>=-4.49319 40  19 B (0.52500000 0.47500000)  
##              84) compactness_se< -4.140142 15   0 B (1.00000000 0.00000000) *
##              85) compactness_se>=-4.140142 25   6 M (0.24000000 0.76000000) *
##            43) compactness_se< -4.49319 29   2 M (0.06896552 0.93103448)  
##              86) smoothness_mean< -2.522867 1   0 B (1.00000000 0.00000000) *
##              87) smoothness_mean>=-2.522867 28   1 M (0.03571429 0.96428571) *
##        11) compactness_se>=-3.8849 19   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-3.721197 486 190 M (0.39094650 0.60905350)  
##       6) smoothness_worst>=-1.468425 131  54 B (0.58778626 0.41221374)  
##        12) smoothness_mean< -2.066369 119  42 B (0.64705882 0.35294118)  
##          24) compactness_se>=-3.530168 98  27 B (0.72448980 0.27551020)  
##            48) symmetry_worst< -1.834988 22   0 B (1.00000000 0.00000000) *
##            49) symmetry_worst>=-1.834988 76  27 B (0.64473684 0.35526316)  
##              98) symmetry_worst>=-1.66988 53  10 B (0.81132075 0.18867925) *
##              99) symmetry_worst< -1.66988 23   6 M (0.26086957 0.73913043) *
##          25) compactness_se< -3.530168 21   6 M (0.28571429 0.71428571)  
##            50) symmetry_worst< -2.033319 5   0 B (1.00000000 0.00000000) *
##            51) symmetry_worst>=-2.033319 16   1 M (0.06250000 0.93750000)  
##             102) smoothness_mean< -2.22517 4   1 M (0.25000000 0.75000000) *
##             103) smoothness_mean>=-2.22517 12   0 M (0.00000000 1.00000000) *
##        13) smoothness_mean>=-2.066369 12   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst< -1.468425 355 113 M (0.31830986 0.68169014)  
##        14) smoothness_worst< -1.473672 327 113 M (0.34556575 0.65443425)  
##          28) smoothness_worst>=-1.476409 19   0 B (1.00000000 0.00000000) *
##          29) smoothness_worst< -1.476409 308  94 M (0.30519481 0.69480519)  
##            58) compactness_se>=-3.657776 271  93 M (0.34317343 0.65682657)  
##             116) smoothness_mean< -2.293133 198  82 M (0.41414141 0.58585859) *
##             117) smoothness_mean>=-2.293133 73  11 M (0.15068493 0.84931507) *
##            59) compactness_se< -3.657776 37   1 M (0.02702703 0.97297297)  
##             118) smoothness_mean< -2.428332 1   0 B (1.00000000 0.00000000) *
##             119) smoothness_mean>=-2.428332 36   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.473672 28   0 M (0.00000000 1.00000000) *
## 
## $trees[[47]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 446 M (0.48903509 0.51096491)  
##     2) texture_worst>=4.981809 129  43 B (0.66666667 0.33333333)  
##       4) compactness_se>=-3.857921 82  18 B (0.78048780 0.21951220)  
##         8) smoothness_mean>=-2.450359 67   7 B (0.89552239 0.10447761)  
##          16) texture_mean>=3.087624 65   5 B (0.92307692 0.07692308)  
##            32) smoothness_worst>=-1.567424 63   3 B (0.95238095 0.04761905)  
##              64) texture_mean< 3.523981 62   2 B (0.96774194 0.03225806) *
##              65) texture_mean>=3.523981 1   0 M (0.00000000 1.00000000) *
##            33) smoothness_worst< -1.567424 2   0 M (0.00000000 1.00000000) *
##          17) texture_mean< 3.087624 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.450359 15   4 M (0.26666667 0.73333333)  
##          18) compactness_se< -3.643388 4   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-3.643388 11   0 M (0.00000000 1.00000000) *
##       5) compactness_se< -3.857921 47  22 M (0.46808511 0.53191489)  
##        10) compactness_se< -4.054302 32  10 B (0.68750000 0.31250000)  
##          20) texture_worst< 5.082986 11   0 B (1.00000000 0.00000000) *
##          21) texture_worst>=5.082986 21  10 B (0.52380952 0.47619048)  
##            42) texture_mean>=3.222856 13   3 B (0.76923077 0.23076923)  
##              84) compactness_se< -4.317414 8   0 B (1.00000000 0.00000000) *
##              85) compactness_se>=-4.317414 5   2 M (0.40000000 0.60000000) *
##            43) texture_mean< 3.222856 8   1 M (0.12500000 0.87500000)  
##              86) texture_mean< 2.989187 1   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.989187 7   0 M (0.00000000 1.00000000) *
##        11) compactness_se>=-4.054302 15   0 M (0.00000000 1.00000000) *
##     3) texture_worst< 4.981809 783 360 M (0.45977011 0.54022989)  
##       6) texture_mean< 3.064089 661 326 M (0.49319213 0.50680787)  
##        12) texture_worst< 4.893699 638 313 B (0.50940439 0.49059561)  
##          24) texture_worst>=4.528527 262  95 B (0.63740458 0.36259542)  
##            48) symmetry_worst< -1.816281 87  15 B (0.82758621 0.17241379)  
##              96) compactness_se>=-4.098964 50   1 B (0.98000000 0.02000000) *
##              97) compactness_se< -4.098964 37  14 B (0.62162162 0.37837838) *
##            49) symmetry_worst>=-1.816281 175  80 B (0.54285714 0.45714286)  
##              98) symmetry_worst>=-1.749637 139  46 B (0.66906475 0.33093525) *
##              99) symmetry_worst< -1.749637 36   2 M (0.05555556 0.94444444) *
##          25) texture_worst< 4.528527 376 158 M (0.42021277 0.57978723)  
##            50) texture_worst< 4.517889 341 158 M (0.46334311 0.53665689)  
##             100) texture_worst>=4.465917 32   3 B (0.90625000 0.09375000) *
##             101) texture_worst< 4.465917 309 129 M (0.41747573 0.58252427) *
##            51) texture_worst>=4.517889 35   0 M (0.00000000 1.00000000) *
##        13) texture_worst>=4.893699 23   1 M (0.04347826 0.95652174)  
##          26) smoothness_worst>=-1.43503 2   1 B (0.50000000 0.50000000)  
##            52) texture_mean>=3.010774 1   0 B (1.00000000 0.00000000) *
##            53) texture_mean< 3.010774 1   0 M (0.00000000 1.00000000) *
##          27) smoothness_worst< -1.43503 21   0 M (0.00000000 1.00000000) *
##       7) texture_mean>=3.064089 122  34 M (0.27868852 0.72131148)  
##        14) compactness_se< -3.477558 64  29 M (0.45312500 0.54687500)  
##          28) compactness_se>=-4.245776 42  16 B (0.61904762 0.38095238)  
##            56) smoothness_worst< -1.542689 13   0 B (1.00000000 0.00000000) *
##            57) smoothness_worst>=-1.542689 29  13 M (0.44827586 0.55172414)  
##             114) smoothness_mean>=-2.310108 16   5 B (0.68750000 0.31250000) *
##             115) smoothness_mean< -2.310108 13   2 M (0.15384615 0.84615385) *
##          29) compactness_se< -4.245776 22   3 M (0.13636364 0.86363636)  
##            58) smoothness_mean< -2.552595 3   0 B (1.00000000 0.00000000) *
##            59) smoothness_mean>=-2.552595 19   0 M (0.00000000 1.00000000) *
##        15) compactness_se>=-3.477558 58   5 M (0.08620690 0.91379310)  
##          30) symmetry_worst< -2.154356 16   5 M (0.31250000 0.68750000)  
##            60) texture_mean>=3.083592 6   1 B (0.83333333 0.16666667)  
##             120) texture_mean< 3.182137 5   0 B (1.00000000 0.00000000) *
##             121) texture_mean>=3.182137 1   0 M (0.00000000 1.00000000) *
##            61) texture_mean< 3.083592 10   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-2.154356 42   0 M (0.00000000 1.00000000) *
## 
## $trees[[48]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 437 B (0.52083333 0.47916667)  
##     2) smoothness_worst>=-1.536824 557 235 B (0.57809695 0.42190305)  
##       4) symmetry_worst< -1.696738 259  82 B (0.68339768 0.31660232)  
##         8) symmetry_worst>=-1.733919 36   0 B (1.00000000 0.00000000) *
##         9) symmetry_worst< -1.733919 223  82 B (0.63228700 0.36771300)  
##          18) texture_worst< 4.176708 23   0 B (1.00000000 0.00000000) *
##          19) texture_worst>=4.176708 200  82 B (0.59000000 0.41000000)  
##            38) symmetry_worst< -1.758563 183  67 B (0.63387978 0.36612022)  
##              76) smoothness_worst>=-1.474843 89  20 B (0.77528090 0.22471910) *
##              77) smoothness_worst< -1.474843 94  47 B (0.50000000 0.50000000) *
##            39) symmetry_worst>=-1.758563 17   2 M (0.11764706 0.88235294)  
##              78) texture_mean< 2.948421 2   0 B (1.00000000 0.00000000) *
##              79) texture_mean>=2.948421 15   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.696738 298 145 M (0.48657718 0.51342282)  
##        10) smoothness_worst< -1.496036 69  14 B (0.79710145 0.20289855)  
##          20) texture_mean< 3.01402 40   1 B (0.97500000 0.02500000)  
##            40) smoothness_mean< -2.171581 39   0 B (1.00000000 0.00000000) *
##            41) smoothness_mean>=-2.171581 1   0 M (0.00000000 1.00000000) *
##          21) texture_mean>=3.01402 29  13 B (0.55172414 0.44827586)  
##            42) texture_worst>=4.769093 18   2 B (0.88888889 0.11111111)  
##              84) smoothness_mean>=-2.448004 16   0 B (1.00000000 0.00000000) *
##              85) smoothness_mean< -2.448004 2   0 M (0.00000000 1.00000000) *
##            43) texture_worst< 4.769093 11   0 M (0.00000000 1.00000000) *
##        11) smoothness_worst>=-1.496036 229  90 M (0.39301310 0.60698690)  
##          22) symmetry_worst>=-1.66988 209  90 M (0.43062201 0.56937799)  
##            44) smoothness_mean< -2.362601 22   3 B (0.86363636 0.13636364)  
##              88) texture_worst>=4.136225 18   0 B (1.00000000 0.00000000) *
##              89) texture_worst< 4.136225 4   1 M (0.25000000 0.75000000) *
##            45) smoothness_mean>=-2.362601 187  71 M (0.37967914 0.62032086)  
##              90) texture_worst< 4.683387 127  63 B (0.50393701 0.49606299) *
##              91) texture_worst>=4.683387 60   7 M (0.11666667 0.88333333) *
##          23) symmetry_worst< -1.66988 20   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst< -1.536824 355 153 M (0.43098592 0.56901408)  
##       6) smoothness_worst< -1.556752 249 114 B (0.54216867 0.45783133)  
##        12) smoothness_worst>=-1.59459 86  23 B (0.73255814 0.26744186)  
##          24) compactness_se< -4.137961 34   2 B (0.94117647 0.05882353)  
##            48) smoothness_mean>=-2.483572 29   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean< -2.483572 5   2 B (0.60000000 0.40000000)  
##              98) texture_mean< 3.024746 3   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=3.024746 2   0 M (0.00000000 1.00000000) *
##          25) compactness_se>=-4.137961 52  21 B (0.59615385 0.40384615)  
##            50) compactness_se>=-3.677425 29   5 B (0.82758621 0.17241379)  
##             100) smoothness_mean< -2.385259 15   0 B (1.00000000 0.00000000) *
##             101) smoothness_mean>=-2.385259 14   5 B (0.64285714 0.35714286) *
##            51) compactness_se< -3.677425 23   7 M (0.30434783 0.69565217)  
##             102) texture_worst< 4.500609 4   0 B (1.00000000 0.00000000) *
##             103) texture_worst>=4.500609 19   3 M (0.15789474 0.84210526) *
##        13) smoothness_worst< -1.59459 163  72 M (0.44171779 0.55828221)  
##          26) symmetry_worst< -1.787851 112  52 B (0.53571429 0.46428571)  
##            52) smoothness_worst< -1.603315 81  26 B (0.67901235 0.32098765)  
##             104) smoothness_worst>=-1.694089 57   8 B (0.85964912 0.14035088) *
##             105) smoothness_worst< -1.694089 24   6 M (0.25000000 0.75000000) *
##            53) smoothness_worst>=-1.603315 31   5 M (0.16129032 0.83870968)  
##             106) compactness_se< -3.737687 10   5 B (0.50000000 0.50000000) *
##             107) compactness_se>=-3.737687 21   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-1.787851 51  12 M (0.23529412 0.76470588)  
##            54) texture_mean< 2.840588 4   0 B (1.00000000 0.00000000) *
##            55) texture_mean>=2.840588 47   8 M (0.17021277 0.82978723)  
##             110) texture_worst>=4.892067 4   0 B (1.00000000 0.00000000) *
##             111) texture_worst< 4.892067 43   4 M (0.09302326 0.90697674) *
##       7) smoothness_worst>=-1.556752 106  18 M (0.16981132 0.83018868)  
##        14) texture_mean>=3.228181 10   0 B (1.00000000 0.00000000) *
##        15) texture_mean< 3.228181 96   8 M (0.08333333 0.91666667)  
##          30) compactness_se< -4.716263 3   0 B (1.00000000 0.00000000) *
##          31) compactness_se>=-4.716263 93   5 M (0.05376344 0.94623656)  
##            62) smoothness_mean>=-2.255227 1   0 B (1.00000000 0.00000000) *
##            63) smoothness_mean< -2.255227 92   4 M (0.04347826 0.95652174)  
##             126) compactness_se>=-3.962253 29   4 M (0.13793103 0.86206897) *
##             127) compactness_se< -3.962253 63   0 M (0.00000000 1.00000000) *
## 
## $trees[[49]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 440 M (0.48245614 0.51754386)  
##     2) symmetry_worst< -2.202388 67  20 B (0.70149254 0.29850746)  
##       4) compactness_se>=-4.564659 60  13 B (0.78333333 0.21666667)  
##         8) smoothness_mean< -2.256658 54   8 B (0.85185185 0.14814815)  
##          16) smoothness_mean>=-2.469349 45   2 B (0.95555556 0.04444444)  
##            32) symmetry_worst>=-2.957999 43   0 B (1.00000000 0.00000000) *
##            33) symmetry_worst< -2.957999 2   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean< -2.469349 9   3 M (0.33333333 0.66666667)  
##            34) smoothness_mean< -2.532503 3   0 B (1.00000000 0.00000000) *
##            35) smoothness_mean>=-2.532503 6   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean>=-2.256658 6   1 M (0.16666667 0.83333333)  
##          18) texture_mean< 2.843278 1   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.843278 5   0 M (0.00000000 1.00000000) *
##       5) compactness_se< -4.564659 7   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-2.202388 845 393 M (0.46508876 0.53491124)  
##       6) texture_worst< 4.858219 675 335 M (0.49629630 0.50370370)  
##        12) texture_worst>=4.786713 47   9 B (0.80851064 0.19148936)  
##          24) compactness_se< -2.785754 43   5 B (0.88372093 0.11627907)  
##            48) smoothness_mean< -2.221555 41   3 B (0.92682927 0.07317073)  
##              96) texture_mean< 3.065024 28   0 B (1.00000000 0.00000000) *
##              97) texture_mean>=3.065024 13   3 B (0.76923077 0.23076923) *
##            49) smoothness_mean>=-2.221555 2   0 M (0.00000000 1.00000000) *
##          25) compactness_se>=-2.785754 4   0 M (0.00000000 1.00000000) *
##        13) texture_worst< 4.786713 628 297 M (0.47292994 0.52707006)  
##          26) symmetry_worst< -1.835199 197  77 B (0.60913706 0.39086294)  
##            52) symmetry_worst>=-2.103063 156  48 B (0.69230769 0.30769231)  
##             104) smoothness_mean< -2.411294 59   5 B (0.91525424 0.08474576) *
##             105) smoothness_mean>=-2.411294 97  43 B (0.55670103 0.44329897) *
##            53) symmetry_worst< -2.103063 41  12 M (0.29268293 0.70731707)  
##             106) texture_mean< 2.916738 6   0 B (1.00000000 0.00000000) *
##             107) texture_mean>=2.916738 35   6 M (0.17142857 0.82857143) *
##          27) symmetry_worst>=-1.835199 431 177 M (0.41067285 0.58932715)  
##            54) compactness_se>=-2.749072 18   1 B (0.94444444 0.05555556)  
##             108) smoothness_mean< -2.126739 17   0 B (1.00000000 0.00000000) *
##             109) smoothness_mean>=-2.126739 1   0 M (0.00000000 1.00000000) *
##            55) compactness_se< -2.749072 413 160 M (0.38740920 0.61259080)  
##             110) smoothness_worst< -1.473282 287 134 M (0.46689895 0.53310105) *
##             111) smoothness_worst>=-1.473282 126  26 M (0.20634921 0.79365079) *
##       7) texture_worst>=4.858219 170  58 M (0.34117647 0.65882353)  
##        14) texture_worst>=4.982438 84  39 B (0.53571429 0.46428571)  
##          28) texture_worst< 5.06141 26   6 B (0.76923077 0.23076923)  
##            56) symmetry_worst>=-2.026445 22   2 B (0.90909091 0.09090909)  
##             112) symmetry_worst< -1.541072 20   0 B (1.00000000 0.00000000) *
##             113) symmetry_worst>=-1.541072 2   0 M (0.00000000 1.00000000) *
##            57) symmetry_worst< -2.026445 4   0 M (0.00000000 1.00000000) *
##          29) texture_worst>=5.06141 58  25 M (0.43103448 0.56896552)  
##            58) texture_mean>=3.33381 23   6 B (0.73913043 0.26086957)  
##             116) texture_mean< 3.388429 19   2 B (0.89473684 0.10526316) *
##             117) texture_mean>=3.388429 4   0 M (0.00000000 1.00000000) *
##            59) texture_mean< 3.33381 35   8 M (0.22857143 0.77142857)  
##             118) compactness_se< -4.509895 10   2 B (0.80000000 0.20000000) *
##             119) compactness_se>=-4.509895 25   0 M (0.00000000 1.00000000) *
##        15) texture_worst< 4.982438 86  13 M (0.15116279 0.84883721)  
##          30) smoothness_mean>=-2.275459 33  10 M (0.30303030 0.69696970)  
##            60) smoothness_mean< -2.247694 14   4 B (0.71428571 0.28571429)  
##             120) texture_mean< 3.216671 10   0 B (1.00000000 0.00000000) *
##             121) texture_mean>=3.216671 4   0 M (0.00000000 1.00000000) *
##            61) smoothness_mean>=-2.247694 19   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean< -2.275459 53   3 M (0.05660377 0.94339623)  
##            62) texture_mean>=3.224565 1   0 B (1.00000000 0.00000000) *
##            63) texture_mean< 3.224565 52   2 M (0.03846154 0.96153846)  
##             126) smoothness_worst< -1.623453 4   2 B (0.50000000 0.50000000) *
##             127) smoothness_worst>=-1.623453 48   0 M (0.00000000 1.00000000) *
## 
## $trees[[50]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 452 B (0.50438596 0.49561404)  
##     2) texture_mean< 2.960364 477 198 B (0.58490566 0.41509434)  
##       4) texture_worst< 4.737861 461 183 B (0.60303688 0.39696312)  
##         8) texture_mean>=2.940483 39   1 B (0.97435897 0.02564103)  
##          16) smoothness_mean< -2.200472 38   0 B (1.00000000 0.00000000) *
##          17) smoothness_mean>=-2.200472 1   0 M (0.00000000 1.00000000) *
##         9) texture_mean< 2.940483 422 182 B (0.56872038 0.43127962)  
##          18) compactness_se>=-3.355415 95  23 B (0.75789474 0.24210526)  
##            36) symmetry_worst< -1.330042 68   7 B (0.89705882 0.10294118)  
##              72) smoothness_mean< -2.044552 56   0 B (1.00000000 0.00000000) *
##              73) smoothness_mean>=-2.044552 12   5 M (0.41666667 0.58333333) *
##            37) symmetry_worst>=-1.330042 27  11 M (0.40740741 0.59259259)  
##              74) compactness_se>=-2.646661 11   0 B (1.00000000 0.00000000) *
##              75) compactness_se< -2.646661 16   0 M (0.00000000 1.00000000) *
##          19) compactness_se< -3.355415 327 159 B (0.51376147 0.48623853)  
##            38) compactness_se< -3.647113 246  98 B (0.60162602 0.39837398)  
##              76) smoothness_mean>=-2.284793 42   1 B (0.97619048 0.02380952) *
##              77) smoothness_mean< -2.284793 204  97 B (0.52450980 0.47549020) *
##            39) compactness_se>=-3.647113 81  20 M (0.24691358 0.75308642)  
##              78) symmetry_worst< -1.841614 31  15 M (0.48387097 0.51612903) *
##              79) symmetry_worst>=-1.841614 50   5 M (0.10000000 0.90000000) *
##       5) texture_worst>=4.737861 16   1 M (0.06250000 0.93750000)  
##        10) texture_mean< 2.883257 1   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.883257 15   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.960364 435 181 M (0.41609195 0.58390805)  
##       6) texture_worst< 4.357182 12   0 B (1.00000000 0.00000000) *
##       7) texture_worst>=4.357182 423 169 M (0.39952719 0.60047281)  
##        14) texture_mean>=2.987952 348 156 M (0.44827586 0.55172414)  
##          28) texture_mean< 3.007166 39   6 B (0.84615385 0.15384615)  
##            56) compactness_se>=-4.641569 37   4 B (0.89189189 0.10810811)  
##             112) smoothness_mean< -2.072005 36   3 B (0.91666667 0.08333333) *
##             113) smoothness_mean>=-2.072005 1   0 M (0.00000000 1.00000000) *
##            57) compactness_se< -4.641569 2   0 M (0.00000000 1.00000000) *
##          29) texture_mean>=3.007166 309 123 M (0.39805825 0.60194175)  
##            58) smoothness_worst< -1.618721 39  10 B (0.74358974 0.25641026)  
##             116) texture_worst>=4.552962 29   1 B (0.96551724 0.03448276) *
##             117) texture_worst< 4.552962 10   1 M (0.10000000 0.90000000) *
##            59) smoothness_worst>=-1.618721 270  94 M (0.34814815 0.65185185)  
##             118) smoothness_mean>=-2.094359 12   0 B (1.00000000 0.00000000) *
##             119) smoothness_mean< -2.094359 258  82 M (0.31782946 0.68217054) *
##        15) texture_mean< 2.987952 75  13 M (0.17333333 0.82666667)  
##          30) symmetry_worst< -1.866596 19   7 B (0.63157895 0.36842105)  
##            60) texture_mean< 2.975782 10   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=2.975782 9   2 M (0.22222222 0.77777778)  
##             122) smoothness_mean< -2.467883 2   0 B (1.00000000 0.00000000) *
##             123) smoothness_mean>=-2.467883 7   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-1.866596 56   1 M (0.01785714 0.98214286)  
##            62) symmetry_worst>=-1.54659 12   1 M (0.08333333 0.91666667)  
##             124) texture_mean>=2.971695 1   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 2.971695 11   0 M (0.00000000 1.00000000) *
##            63) symmetry_worst< -1.54659 44   0 M (0.00000000 1.00000000) *
## 
## $trees[[51]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 453 M (0.49671053 0.50328947)  
##     2) texture_mean< 2.74084 47   8 B (0.82978723 0.17021277)  
##       4) symmetry_worst< -1.075653 45   6 B (0.86666667 0.13333333)  
##         8) smoothness_worst>=-1.54469 28   1 B (0.96428571 0.03571429)  
##          16) texture_mean>=2.515298 26   0 B (1.00000000 0.00000000) *
##          17) texture_mean< 2.515298 2   1 B (0.50000000 0.50000000)  
##            34) texture_mean< 2.434062 1   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.434062 1   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst< -1.54469 17   5 B (0.70588235 0.29411765)  
##          18) smoothness_mean< -2.328678 12   0 B (1.00000000 0.00000000) *
##          19) smoothness_mean>=-2.328678 5   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.075653 2   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.74084 865 414 M (0.47861272 0.52138728)  
##       6) texture_worst>=4.645038 351 154 B (0.56125356 0.43874644)  
##        12) symmetry_worst< -1.395831 335 138 B (0.58805970 0.41194030)  
##          24) texture_mean< 2.947329 25   0 B (1.00000000 0.00000000) *
##          25) texture_mean>=2.947329 310 138 B (0.55483871 0.44516129)  
##            50) texture_mean>=3.021644 253  94 B (0.62845850 0.37154150)  
##             100) compactness_se< -2.72933 242  83 B (0.65702479 0.34297521) *
##             101) compactness_se>=-2.72933 11   0 M (0.00000000 1.00000000) *
##            51) texture_mean< 3.021644 57  13 M (0.22807018 0.77192982)  
##             102) symmetry_worst>=-1.537481 7   0 B (1.00000000 0.00000000) *
##             103) symmetry_worst< -1.537481 50   6 M (0.12000000 0.88000000) *
##        13) symmetry_worst>=-1.395831 16   0 M (0.00000000 1.00000000) *
##       7) texture_worst< 4.645038 514 217 M (0.42217899 0.57782101)  
##        14) texture_worst< 4.618916 463 212 M (0.45788337 0.54211663)  
##          28) smoothness_worst< -1.482701 255 111 B (0.56470588 0.43529412)  
##            56) symmetry_worst>=-1.692331 60   9 B (0.85000000 0.15000000)  
##             112) texture_mean< 2.960831 46   2 B (0.95652174 0.04347826) *
##             113) texture_mean>=2.960831 14   7 B (0.50000000 0.50000000) *
##            57) symmetry_worst< -1.692331 195  93 M (0.47692308 0.52307692)  
##             114) symmetry_worst< -1.787433 147  60 B (0.59183673 0.40816327) *
##             115) symmetry_worst>=-1.787433 48   6 M (0.12500000 0.87500000) *
##          29) smoothness_worst>=-1.482701 208  68 M (0.32692308 0.67307692)  
##            58) smoothness_worst>=-1.477976 157  67 M (0.42675159 0.57324841)  
##             116) symmetry_worst< -1.910557 19   0 B (1.00000000 0.00000000) *
##             117) symmetry_worst>=-1.910557 138  48 M (0.34782609 0.65217391) *
##            59) smoothness_worst< -1.477976 51   1 M (0.01960784 0.98039216)  
##             118) texture_worst< 4.126187 1   0 B (1.00000000 0.00000000) *
##             119) texture_worst>=4.126187 50   0 M (0.00000000 1.00000000) *
##        15) texture_worst>=4.618916 51   5 M (0.09803922 0.90196078)  
##          30) smoothness_mean>=-2.350275 4   1 B (0.75000000 0.25000000)  
##            60) texture_mean< 2.883853 3   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=2.883853 1   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean< -2.350275 47   2 M (0.04255319 0.95744681)  
##            62) compactness_se< -4.694501 2   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.694501 45   0 M (0.00000000 1.00000000) *
## 
## $trees[[52]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 442 M (0.48464912 0.51535088)  
##     2) texture_mean< 2.74084 57  12 B (0.78947368 0.21052632)  
##       4) compactness_se< -2.975291 54   9 B (0.83333333 0.16666667)  
##         8) texture_worst< 4.260219 47   5 B (0.89361702 0.10638298)  
##          16) texture_mean>=2.487336 41   2 B (0.95121951 0.04878049)  
##            32) texture_worst< 4.046102 28   0 B (1.00000000 0.00000000) *
##            33) texture_worst>=4.046102 13   2 B (0.84615385 0.15384615)  
##              66) compactness_se< -3.699588 11   0 B (1.00000000 0.00000000) *
##              67) compactness_se>=-3.699588 2   0 M (0.00000000 1.00000000) *
##          17) texture_mean< 2.487336 6   3 B (0.50000000 0.50000000)  
##            34) texture_mean< 2.434062 3   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.434062 3   0 M (0.00000000 1.00000000) *
##         9) texture_worst>=4.260219 7   3 M (0.42857143 0.57142857)  
##          18) texture_mean>=2.724206 3   0 B (1.00000000 0.00000000) *
##          19) texture_mean< 2.724206 4   0 M (0.00000000 1.00000000) *
##       5) compactness_se>=-2.975291 3   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.74084 855 397 M (0.46432749 0.53567251)  
##       6) compactness_se>=-4.406791 718 356 M (0.49582173 0.50417827)  
##        12) smoothness_worst< -1.472307 505 231 B (0.54257426 0.45742574)  
##          24) smoothness_worst>=-1.476605 40   0 B (1.00000000 0.00000000) *
##          25) smoothness_worst< -1.476605 465 231 B (0.50322581 0.49677419)  
##            50) smoothness_worst< -1.482502 407 181 B (0.55528256 0.44471744)  
##             100) smoothness_worst>=-1.484675 34   0 B (1.00000000 0.00000000) *
##             101) smoothness_worst< -1.484675 373 181 B (0.51474531 0.48525469) *
##            51) smoothness_worst>=-1.482502 58   8 M (0.13793103 0.86206897)  
##             102) texture_worst< 4.126187 4   0 B (1.00000000 0.00000000) *
##             103) texture_worst>=4.126187 54   4 M (0.07407407 0.92592593) *
##        13) smoothness_worst>=-1.472307 213  82 M (0.38497653 0.61502347)  
##          26) smoothness_worst>=-1.466873 183  82 M (0.44808743 0.55191257)  
##            52) smoothness_worst< -1.460895 16   0 B (1.00000000 0.00000000) *
##            53) smoothness_worst>=-1.460895 167  66 M (0.39520958 0.60479042)  
##             106) compactness_se< -4.040144 22   2 B (0.90909091 0.09090909) *
##             107) compactness_se>=-4.040144 145  46 M (0.31724138 0.68275862) *
##          27) smoothness_worst< -1.466873 30   0 M (0.00000000 1.00000000) *
##       7) compactness_se< -4.406791 137  41 M (0.29927007 0.70072993)  
##        14) compactness_se< -4.705732 14   0 B (1.00000000 0.00000000) *
##        15) compactness_se>=-4.705732 123  27 M (0.21951220 0.78048780)  
##          30) symmetry_worst>=-1.506254 9   0 B (1.00000000 0.00000000) *
##          31) symmetry_worst< -1.506254 114  18 M (0.15789474 0.84210526)  
##            62) texture_mean< 2.840513 5   0 B (1.00000000 0.00000000) *
##            63) texture_mean>=2.840513 109  13 M (0.11926606 0.88073394)  
##             126) smoothness_mean< -2.461309 24  10 M (0.41666667 0.58333333) *
##             127) smoothness_mean>=-2.461309 85   3 M (0.03529412 0.96470588) *
## 
## $trees[[53]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 409 M (0.44846491 0.55153509)  
##     2) smoothness_worst>=-1.477976 296 120 B (0.59459459 0.40540541)  
##       4) symmetry_worst< -1.659152 163  44 B (0.73006135 0.26993865)  
##         8) texture_worst< 4.373034 61   0 B (1.00000000 0.00000000) *
##         9) texture_worst>=4.373034 102  44 B (0.56862745 0.43137255)  
##          18) texture_worst>=4.533402 84  26 B (0.69047619 0.30952381)  
##            36) texture_worst< 5.041355 73  15 B (0.79452055 0.20547945)  
##              72) compactness_se< -3.169117 70  12 B (0.82857143 0.17142857) *
##              73) compactness_se>=-3.169117 3   0 M (0.00000000 1.00000000) *
##            37) texture_worst>=5.041355 11   0 M (0.00000000 1.00000000) *
##          19) texture_worst< 4.533402 18   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.659152 133  57 M (0.42857143 0.57142857)  
##        10) smoothness_mean< -2.222401 88  37 B (0.57954545 0.42045455)  
##          20) texture_worst>=4.283469 68  18 B (0.73529412 0.26470588)  
##            40) smoothness_mean>=-2.250467 28   0 B (1.00000000 0.00000000) *
##            41) smoothness_mean< -2.250467 40  18 B (0.55000000 0.45000000)  
##              82) smoothness_mean< -2.271574 31  10 B (0.67741935 0.32258065) *
##              83) smoothness_mean>=-2.271574 9   1 M (0.11111111 0.88888889) *
##          21) texture_worst< 4.283469 20   1 M (0.05000000 0.95000000)  
##            42) texture_mean< 2.735974 1   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.735974 19   0 M (0.00000000 1.00000000) *
##        11) smoothness_mean>=-2.222401 45   6 M (0.13333333 0.86666667)  
##          22) compactness_se< -4.013684 3   0 B (1.00000000 0.00000000) *
##          23) compactness_se>=-4.013684 42   3 M (0.07142857 0.92857143)  
##            46) smoothness_mean>=-1.889548 2   0 B (1.00000000 0.00000000) *
##            47) smoothness_mean< -1.889548 40   1 M (0.02500000 0.97500000)  
##              94) texture_mean< 2.688296 4   1 M (0.25000000 0.75000000) *
##              95) texture_mean>=2.688296 36   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst< -1.477976 616 233 M (0.37824675 0.62175325)  
##       6) compactness_se< -4.706178 16   0 B (1.00000000 0.00000000) *
##       7) compactness_se>=-4.706178 600 217 M (0.36166667 0.63833333)  
##        14) symmetry_worst>=-1.750623 236 114 M (0.48305085 0.51694915)  
##          28) symmetry_worst< -1.658507 81  20 B (0.75308642 0.24691358)  
##            56) texture_mean< 2.955415 34   0 B (1.00000000 0.00000000) *
##            57) texture_mean>=2.955415 47  20 B (0.57446809 0.42553191)  
##             114) texture_mean>=2.990463 36   9 B (0.75000000 0.25000000) *
##             115) texture_mean< 2.990463 11   0 M (0.00000000 1.00000000) *
##          29) symmetry_worst>=-1.658507 155  53 M (0.34193548 0.65806452)  
##            58) texture_mean>=3.21466 13   2 B (0.84615385 0.15384615)  
##             116) smoothness_mean< -2.369177 11   0 B (1.00000000 0.00000000) *
##             117) smoothness_mean>=-2.369177 2   0 M (0.00000000 1.00000000) *
##            59) texture_mean< 3.21466 142  42 M (0.29577465 0.70422535)  
##             118) texture_worst< 4.514447 49  23 M (0.46938776 0.53061224) *
##             119) texture_worst>=4.514447 93  19 M (0.20430108 0.79569892) *
##        15) symmetry_worst< -1.750623 364 103 M (0.28296703 0.71703297)  
##          30) texture_mean< 2.753964 10   0 B (1.00000000 0.00000000) *
##          31) texture_mean>=2.753964 354  93 M (0.26271186 0.73728814)  
##            62) texture_mean>=2.93492 217  79 M (0.36405530 0.63594470)  
##             124) texture_mean< 3.057767 74  27 B (0.63513514 0.36486486) *
##             125) texture_mean>=3.057767 143  32 M (0.22377622 0.77622378) *
##            63) texture_mean< 2.93492 137  14 M (0.10218978 0.89781022)  
##             126) smoothness_worst< -1.608434 4   0 B (1.00000000 0.00000000) *
##             127) smoothness_worst>=-1.608434 133  10 M (0.07518797 0.92481203) *
## 
## $trees[[54]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 447 M (0.49013158 0.50986842)  
##     2) texture_worst< 4.481821 301 115 B (0.61794020 0.38205980)  
##       4) smoothness_mean< -2.074653 284 101 B (0.64436620 0.35563380)  
##         8) smoothness_mean>=-2.262885 91  13 B (0.85714286 0.14285714)  
##          16) symmetry_worst< -1.012175 89  11 B (0.87640449 0.12359551)  
##            32) smoothness_mean< -2.214122 57   2 B (0.96491228 0.03508772)  
##              64) texture_worst>=4.036973 53   0 B (1.00000000 0.00000000) *
##              65) texture_worst< 4.036973 4   2 B (0.50000000 0.50000000) *
##            33) smoothness_mean>=-2.214122 32   9 B (0.71875000 0.28125000)  
##              66) texture_worst< 4.214247 21   0 B (1.00000000 0.00000000) *
##              67) texture_worst>=4.214247 11   2 M (0.18181818 0.81818182) *
##          17) symmetry_worst>=-1.012175 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.262885 193  88 B (0.54404145 0.45595855)  
##          18) symmetry_worst>=-1.700875 57  13 B (0.77192982 0.22807018)  
##            36) smoothness_worst< -1.510792 38   2 B (0.94736842 0.05263158)  
##              72) texture_mean< 2.975525 36   0 B (1.00000000 0.00000000) *
##              73) texture_mean>=2.975525 2   0 M (0.00000000 1.00000000) *
##            37) smoothness_worst>=-1.510792 19   8 M (0.42105263 0.57894737)  
##              74) texture_mean< 2.728421 7   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=2.728421 12   1 M (0.08333333 0.91666667) *
##          19) symmetry_worst< -1.700875 136  61 M (0.44852941 0.55147059)  
##            38) smoothness_mean< -2.468758 14   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean>=-2.468758 122  47 M (0.38524590 0.61475410)  
##              78) texture_worst>=4.471737 9   0 B (1.00000000 0.00000000) *
##              79) texture_worst< 4.471737 113  38 M (0.33628319 0.66371681) *
##       5) smoothness_mean>=-2.074653 17   3 M (0.17647059 0.82352941)  
##        10) smoothness_mean>=-1.889548 2   0 B (1.00000000 0.00000000) *
##        11) smoothness_mean< -1.889548 15   1 M (0.06666667 0.93333333)  
##          22) texture_mean< 2.688296 3   1 M (0.33333333 0.66666667)  
##            44) texture_mean>=2.553793 1   0 B (1.00000000 0.00000000) *
##            45) texture_mean< 2.553793 2   0 M (0.00000000 1.00000000) *
##          23) texture_mean>=2.688296 12   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.481821 611 261 M (0.42716858 0.57283142)  
##       6) smoothness_worst< -1.462628 479 229 M (0.47807933 0.52192067)  
##        12) texture_worst>=4.545891 403 191 B (0.52605459 0.47394541)  
##          24) compactness_se>=-4.676462 375 168 B (0.55200000 0.44800000)  
##            48) smoothness_worst< -1.602859 54   9 B (0.83333333 0.16666667)  
##              96) smoothness_mean< -2.337942 50   5 B (0.90000000 0.10000000) *
##              97) smoothness_mean>=-2.337942 4   0 M (0.00000000 1.00000000) *
##            49) smoothness_worst>=-1.602859 321 159 B (0.50467290 0.49532710)  
##              98) smoothness_worst>=-1.594363 305 143 B (0.53114754 0.46885246) *
##              99) smoothness_worst< -1.594363 16   0 M (0.00000000 1.00000000) *
##          25) compactness_se< -4.676462 28   5 M (0.17857143 0.82142857)  
##            50) compactness_se< -4.882915 3   0 B (1.00000000 0.00000000) *
##            51) compactness_se>=-4.882915 25   2 M (0.08000000 0.92000000)  
##             102) texture_mean>=3.184969 1   0 B (1.00000000 0.00000000) *
##             103) texture_mean< 3.184969 24   1 M (0.04166667 0.95833333) *
##        13) texture_worst< 4.545891 76  17 M (0.22368421 0.77631579)  
##          26) texture_worst< 4.523593 34  17 B (0.50000000 0.50000000)  
##            52) smoothness_mean>=-2.603563 25   8 B (0.68000000 0.32000000)  
##             104) compactness_se>=-4.098353 13   0 B (1.00000000 0.00000000) *
##             105) compactness_se< -4.098353 12   4 M (0.33333333 0.66666667) *
##            53) smoothness_mean< -2.603563 9   0 M (0.00000000 1.00000000) *
##          27) texture_worst>=4.523593 42   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.462628 132  32 M (0.24242424 0.75757576)  
##        14) smoothness_mean>=-2.093138 9   1 B (0.88888889 0.11111111)  
##          28) texture_mean>=3.011332 8   0 B (1.00000000 0.00000000) *
##          29) texture_mean< 3.011332 1   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean< -2.093138 123  24 M (0.19512195 0.80487805)  
##          30) compactness_se>=-2.950105 5   0 B (1.00000000 0.00000000) *
##          31) compactness_se< -2.950105 118  19 M (0.16101695 0.83898305)  
##            62) compactness_se< -4.038084 30  12 M (0.40000000 0.60000000)  
##             124) compactness_se>=-4.113499 7   0 B (1.00000000 0.00000000) *
##             125) compactness_se< -4.113499 23   5 M (0.21739130 0.78260870) *
##            63) compactness_se>=-4.038084 88   7 M (0.07954545 0.92045455)  
##             126) texture_mean< 2.910935 7   2 B (0.71428571 0.28571429) *
##             127) texture_mean>=2.910935 81   2 M (0.02469136 0.97530864) *
## 
## $trees[[55]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 393 M (0.43092105 0.56907895)  
##     2) texture_worst< 4.385542 243 100 B (0.58847737 0.41152263)  
##       4) smoothness_worst>=-1.479941 109  27 B (0.75229358 0.24770642)  
##         8) smoothness_mean< -2.074653 95  16 B (0.83157895 0.16842105)  
##          16) symmetry_worst< -1.64088 53   3 B (0.94339623 0.05660377)  
##            32) texture_worst< 4.373034 48   0 B (1.00000000 0.00000000) *
##            33) texture_worst>=4.373034 5   2 M (0.40000000 0.60000000)  
##              66) texture_mean< 2.851282 2   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=2.851282 3   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst>=-1.64088 42  13 B (0.69047619 0.30952381)  
##            34) texture_worst>=4.287261 20   0 B (1.00000000 0.00000000) *
##            35) texture_worst< 4.287261 22   9 M (0.40909091 0.59090909)  
##              70) compactness_se< -3.761643 9   0 B (1.00000000 0.00000000) *
##              71) compactness_se>=-3.761643 13   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean>=-2.074653 14   3 M (0.21428571 0.78571429)  
##          18) texture_mean< 2.688296 4   1 B (0.75000000 0.25000000)  
##            36) texture_mean>=2.515298 3   0 B (1.00000000 0.00000000) *
##            37) texture_mean< 2.515298 1   0 M (0.00000000 1.00000000) *
##          19) texture_mean>=2.688296 10   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.479941 134  61 M (0.45522388 0.54477612)  
##        10) symmetry_worst< -2.071707 19   2 B (0.89473684 0.10526316)  
##          20) symmetry_worst>=-2.923662 17   0 B (1.00000000 0.00000000) *
##          21) symmetry_worst< -2.923662 2   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-2.071707 115  44 M (0.38260870 0.61739130)  
##          22) texture_worst>=4.365735 11   0 B (1.00000000 0.00000000) *
##          23) texture_worst< 4.365735 104  33 M (0.31730769 0.68269231)  
##            46) compactness_se< -4.299245 6   0 B (1.00000000 0.00000000) *
##            47) compactness_se>=-4.299245 98  27 M (0.27551020 0.72448980)  
##              94) compactness_se>=-3.48221 34  17 B (0.50000000 0.50000000) *
##              95) compactness_se< -3.48221 64  10 M (0.15625000 0.84375000) *
##     3) texture_worst>=4.385542 669 250 M (0.37369208 0.62630792)  
##       6) smoothness_worst>=-1.381572 20   2 B (0.90000000 0.10000000)  
##        12) symmetry_worst< -1.673563 18   0 B (1.00000000 0.00000000) *
##        13) symmetry_worst>=-1.673563 2   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst< -1.381572 649 232 M (0.35747304 0.64252696)  
##        14) smoothness_mean< -2.507092 40  14 B (0.65000000 0.35000000)  
##          28) smoothness_worst>=-1.720903 31   5 B (0.83870968 0.16129032)  
##            56) texture_mean>=2.971159 24   0 B (1.00000000 0.00000000) *
##            57) texture_mean< 2.971159 7   2 M (0.28571429 0.71428571)  
##             114) texture_mean< 2.955392 2   0 B (1.00000000 0.00000000) *
##             115) texture_mean>=2.955392 5   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst< -1.720903 9   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean>=-2.507092 609 206 M (0.33825944 0.66174056)  
##          30) compactness_se>=-4.098353 401 158 M (0.39401496 0.60598504)  
##            60) texture_mean< 2.927988 59  17 B (0.71186441 0.28813559)  
##             120) smoothness_mean< -2.332581 29   0 B (1.00000000 0.00000000) *
##             121) smoothness_mean>=-2.332581 30  13 M (0.43333333 0.56666667) *
##            61) texture_mean>=2.927988 342 116 M (0.33918129 0.66081871)  
##             122) compactness_se< -3.816486 70  29 B (0.58571429 0.41428571) *
##             123) compactness_se>=-3.816486 272  75 M (0.27573529 0.72426471) *
##          31) compactness_se< -4.098353 208  48 M (0.23076923 0.76923077)  
##            62) smoothness_mean>=-2.291157 18   4 B (0.77777778 0.22222222)  
##             124) smoothness_worst< -1.452633 14   0 B (1.00000000 0.00000000) *
##             125) smoothness_worst>=-1.452633 4   0 M (0.00000000 1.00000000) *
##            63) smoothness_mean< -2.291157 190  34 M (0.17894737 0.82105263)  
##             126) symmetry_worst>=-1.508268 22  11 B (0.50000000 0.50000000) *
##             127) symmetry_worst< -1.508268 168  23 M (0.13690476 0.86309524) *
## 
## $trees[[56]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 414 M (0.45394737 0.54605263)  
##     2) smoothness_worst< -1.556752 209  81 B (0.61244019 0.38755981)  
##       4) smoothness_worst>=-1.714091 195  67 B (0.65641026 0.34358974)  
##         8) texture_worst>=3.963809 179  54 B (0.69832402 0.30167598)  
##          16) smoothness_worst>=-1.568787 35   3 B (0.91428571 0.08571429)  
##            32) texture_worst< 5.269605 32   1 B (0.96875000 0.03125000)  
##              64) compactness_se< -2.682598 31   0 B (1.00000000 0.00000000) *
##              65) compactness_se>=-2.682598 1   0 M (0.00000000 1.00000000) *
##            33) texture_worst>=5.269605 3   1 M (0.33333333 0.66666667)  
##              66) texture_mean>=3.33289 1   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 3.33289 2   0 M (0.00000000 1.00000000) *
##          17) smoothness_worst< -1.568787 144  51 B (0.64583333 0.35416667)  
##            34) symmetry_worst< -1.787851 77  15 B (0.80519481 0.19480519)  
##              68) smoothness_mean< -2.332092 67   8 B (0.88059701 0.11940299) *
##              69) smoothness_mean>=-2.332092 10   3 M (0.30000000 0.70000000) *
##            35) symmetry_worst>=-1.787851 67  31 M (0.46268657 0.53731343)  
##              70) symmetry_worst>=-1.749637 50  19 B (0.62000000 0.38000000) *
##              71) symmetry_worst< -1.749637 17   0 M (0.00000000 1.00000000) *
##         9) texture_worst< 3.963809 16   3 M (0.18750000 0.81250000)  
##          18) texture_mean< 2.763153 3   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.763153 13   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.714091 14   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.556752 703 286 M (0.40682788 0.59317212)  
##       6) texture_mean< 2.813911 73  23 B (0.68493151 0.31506849)  
##        12) compactness_se< -3.88564 22   0 B (1.00000000 0.00000000) *
##        13) compactness_se>=-3.88564 51  23 B (0.54901961 0.45098039)  
##          26) compactness_se>=-3.845431 42  14 B (0.66666667 0.33333333)  
##            52) symmetry_worst< -1.825795 15   0 B (1.00000000 0.00000000) *
##            53) symmetry_worst>=-1.825795 27  13 M (0.48148148 0.51851852)  
##             106) smoothness_mean>=-2.239141 16   5 B (0.68750000 0.31250000) *
##             107) smoothness_mean< -2.239141 11   2 M (0.18181818 0.81818182) *
##          27) compactness_se< -3.845431 9   0 M (0.00000000 1.00000000) *
##       7) texture_mean>=2.813911 630 236 M (0.37460317 0.62539683)  
##        14) symmetry_worst< -2.207988 38  11 B (0.71052632 0.28947368)  
##          28) compactness_se< -3.487878 27   1 B (0.96296296 0.03703704)  
##            56) smoothness_worst< -1.486474 26   0 B (1.00000000 0.00000000) *
##            57) smoothness_worst>=-1.486474 1   0 M (0.00000000 1.00000000) *
##          29) compactness_se>=-3.487878 11   1 M (0.09090909 0.90909091)  
##            58) texture_mean< 3.049609 1   0 B (1.00000000 0.00000000) *
##            59) texture_mean>=3.049609 10   0 M (0.00000000 1.00000000) *
##        15) symmetry_worst>=-2.207988 592 209 M (0.35304054 0.64695946)  
##          30) smoothness_worst>=-1.536189 499 195 M (0.39078156 0.60921844)  
##            60) texture_mean< 3.082139 369 168 M (0.45528455 0.54471545)  
##             120) smoothness_mean< -2.422101 27   0 B (1.00000000 0.00000000) *
##             121) smoothness_mean>=-2.422101 342 141 M (0.41228070 0.58771930) *
##            61) texture_mean>=3.082139 130  27 M (0.20769231 0.79230769)  
##             122) symmetry_worst< -2.188127 6   0 B (1.00000000 0.00000000) *
##             123) symmetry_worst>=-2.188127 124  21 M (0.16935484 0.83064516) *
##          31) smoothness_worst< -1.536189 93  14 M (0.15053763 0.84946237)  
##            62) texture_mean>=3.230975 4   0 B (1.00000000 0.00000000) *
##            63) texture_mean< 3.230975 89  10 M (0.11235955 0.88764045)  
##             126) compactness_se>=-3.962253 22  10 M (0.45454545 0.54545455) *
##             127) compactness_se< -3.962253 67   0 M (0.00000000 1.00000000) *
## 
## $trees[[57]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 447 B (0.50986842 0.49013158)  
##     2) texture_mean< 2.927988 334 119 B (0.64371257 0.35628743)  
##       4) symmetry_worst< -1.322543 299  93 B (0.68896321 0.31103679)  
##         8) symmetry_worst>=-1.982941 246  62 B (0.74796748 0.25203252)  
##          16) compactness_se>=-3.492332 86   7 B (0.91860465 0.08139535)  
##            32) smoothness_mean< -2.155486 74   2 B (0.97297297 0.02702703)  
##              64) texture_mean>=2.745019 67   0 B (1.00000000 0.00000000) *
##              65) texture_mean< 2.745019 7   2 B (0.71428571 0.28571429) *
##            33) smoothness_mean>=-2.155486 12   5 B (0.58333333 0.41666667)  
##              66) smoothness_worst>=-1.349735 7   0 B (1.00000000 0.00000000) *
##              67) smoothness_worst< -1.349735 5   0 M (0.00000000 1.00000000) *
##          17) compactness_se< -3.492332 160  55 B (0.65625000 0.34375000)  
##            34) symmetry_worst>=-1.749307 93  21 B (0.77419355 0.22580645)  
##              68) symmetry_worst< -1.574286 49   1 B (0.97959184 0.02040816) *
##              69) symmetry_worst>=-1.574286 44  20 B (0.54545455 0.45454545) *
##            35) symmetry_worst< -1.749307 67  33 M (0.49253731 0.50746269)  
##              70) smoothness_worst< -1.572768 10   0 B (1.00000000 0.00000000) *
##              71) smoothness_worst>=-1.572768 57  23 M (0.40350877 0.59649123) *
##         9) symmetry_worst< -1.982941 53  22 M (0.41509434 0.58490566)  
##          18) symmetry_worst< -2.050132 26   8 B (0.69230769 0.30769231)  
##            36) symmetry_worst>=-2.49184 17   0 B (1.00000000 0.00000000) *
##            37) symmetry_worst< -2.49184 9   1 M (0.11111111 0.88888889)  
##              74) texture_mean< 2.827797 1   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=2.827797 8   0 M (0.00000000 1.00000000) *
##          19) symmetry_worst>=-2.050132 27   4 M (0.14814815 0.85185185)  
##            38) texture_mean>=2.864483 2   0 B (1.00000000 0.00000000) *
##            39) texture_mean< 2.864483 25   2 M (0.08000000 0.92000000)  
##              78) smoothness_mean< -2.457066 1   0 B (1.00000000 0.00000000) *
##              79) smoothness_mean>=-2.457066 24   1 M (0.04166667 0.95833333) *
##       5) symmetry_worst>=-1.322543 35   9 M (0.25714286 0.74285714)  
##        10) compactness_se>=-2.646661 8   0 B (1.00000000 0.00000000) *
##        11) compactness_se< -2.646661 27   1 M (0.03703704 0.96296296)  
##          22) smoothness_mean>=-2.022167 1   0 B (1.00000000 0.00000000) *
##          23) smoothness_mean< -2.022167 26   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.927988 578 250 M (0.43252595 0.56747405)  
##       6) smoothness_worst>=-1.402559 41   6 B (0.85365854 0.14634146)  
##        12) smoothness_worst< -1.392078 30   0 B (1.00000000 0.00000000) *
##        13) smoothness_worst>=-1.392078 11   5 M (0.45454545 0.54545455)  
##          26) symmetry_worst< -1.716907 7   2 B (0.71428571 0.28571429)  
##            52) symmetry_worst>=-1.796083 5   0 B (1.00000000 0.00000000) *
##            53) symmetry_worst< -1.796083 2   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-1.716907 4   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst< -1.402559 537 215 M (0.40037244 0.59962756)  
##        14) symmetry_worst>=-1.574567 126  53 B (0.57936508 0.42063492)  
##          28) symmetry_worst< -1.551105 35   0 B (1.00000000 0.00000000) *
##          29) symmetry_worst>=-1.551105 91  38 M (0.41758242 0.58241758)  
##            58) compactness_se< -4.458571 14   0 B (1.00000000 0.00000000) *
##            59) compactness_se>=-4.458571 77  24 M (0.31168831 0.68831169)  
##             118) symmetry_worst>=-1.14634 5   0 B (1.00000000 0.00000000) *
##             119) symmetry_worst< -1.14634 72  19 M (0.26388889 0.73611111) *
##        15) symmetry_worst< -1.574567 411 142 M (0.34549878 0.65450122)  
##          30) symmetry_worst< -2.20425 47  15 B (0.68085106 0.31914894)  
##            60) symmetry_worst>=-2.797878 42  10 B (0.76190476 0.23809524)  
##             120) smoothness_mean>=-2.469349 31   2 B (0.93548387 0.06451613) *
##             121) smoothness_mean< -2.469349 11   3 M (0.27272727 0.72727273) *
##            61) symmetry_worst< -2.797878 5   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-2.20425 364 110 M (0.30219780 0.69780220)  
##            62) texture_worst< 4.849569 247  90 M (0.36437247 0.63562753)  
##             124) smoothness_mean>=-2.351324 88  38 B (0.56818182 0.43181818) *
##             125) smoothness_mean< -2.351324 159  40 M (0.25157233 0.74842767) *
##            63) texture_worst>=4.849569 117  20 M (0.17094017 0.82905983)  
##             126) texture_mean>=3.36829 12   5 B (0.58333333 0.41666667) *
##             127) texture_mean< 3.36829 105  13 M (0.12380952 0.87619048) *
## 
## $trees[[58]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 417 B (0.54276316 0.45723684)  
##     2) texture_worst< 4.517889 302 101 B (0.66556291 0.33443709)  
##       4) smoothness_mean>=-2.267218 106  18 B (0.83018868 0.16981132)  
##         8) smoothness_mean< -2.214122 61   0 B (1.00000000 0.00000000) *
##         9) smoothness_mean>=-2.214122 45  18 B (0.60000000 0.40000000)  
##          18) symmetry_worst< -1.66807 16   0 B (1.00000000 0.00000000) *
##          19) symmetry_worst>=-1.66807 29  11 M (0.37931034 0.62068966)  
##            38) compactness_se< -3.95959 5   0 B (1.00000000 0.00000000) *
##            39) compactness_se>=-3.95959 24   6 M (0.25000000 0.75000000)  
##              78) texture_mean< 2.734314 10   4 B (0.60000000 0.40000000) *
##              79) texture_mean>=2.734314 14   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean< -2.267218 196  83 B (0.57653061 0.42346939)  
##        10) smoothness_mean< -2.296604 167  58 B (0.65269461 0.34730539)  
##          20) smoothness_worst>=-1.541066 75  11 B (0.85333333 0.14666667)  
##            40) smoothness_worst< -1.473283 47   0 B (1.00000000 0.00000000) *
##            41) smoothness_worst>=-1.473283 28  11 B (0.60714286 0.39285714)  
##              82) texture_mean< 2.811204 21   4 B (0.80952381 0.19047619) *
##              83) texture_mean>=2.811204 7   0 M (0.00000000 1.00000000) *
##          21) smoothness_worst< -1.541066 92  45 M (0.48913043 0.51086957)  
##            42) smoothness_mean>=-2.411844 43  11 B (0.74418605 0.25581395)  
##              84) smoothness_worst>=-1.567686 25   1 B (0.96000000 0.04000000) *
##              85) smoothness_worst< -1.567686 18   8 M (0.44444444 0.55555556) *
##            43) smoothness_mean< -2.411844 49  13 M (0.26530612 0.73469388)  
##              86) texture_mean< 2.755158 4   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.755158 45   9 M (0.20000000 0.80000000) *
##        11) smoothness_mean>=-2.296604 29   4 M (0.13793103 0.86206897)  
##          22) compactness_se< -4.127915 3   0 B (1.00000000 0.00000000) *
##          23) compactness_se>=-4.127915 26   1 M (0.03846154 0.96153846)  
##            46) texture_mean< 2.732378 1   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.732378 25   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.517889 610 294 M (0.48196721 0.51803279)  
##       6) smoothness_mean< -2.507153 30   2 B (0.93333333 0.06666667)  
##        12) compactness_se>=-4.667693 25   0 B (1.00000000 0.00000000) *
##        13) compactness_se< -4.667693 5   2 B (0.60000000 0.40000000)  
##          26) texture_mean>=2.992821 3   0 B (1.00000000 0.00000000) *
##          27) texture_mean< 2.992821 2   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean>=-2.507153 580 266 M (0.45862069 0.54137931)  
##        14) smoothness_mean< -2.258569 476 236 M (0.49579832 0.50420168)  
##          28) compactness_se>=-4.09685 315 133 B (0.57777778 0.42222222)  
##            56) smoothness_mean>=-2.473552 293 115 B (0.60750853 0.39249147)  
##             112) smoothness_worst>=-1.484082 96  23 B (0.76041667 0.23958333) *
##             113) smoothness_worst< -1.484082 197  92 B (0.53299492 0.46700508) *
##            57) smoothness_mean< -2.473552 22   4 M (0.18181818 0.81818182)  
##             114) symmetry_worst< -2.414048 3   0 B (1.00000000 0.00000000) *
##             115) symmetry_worst>=-2.414048 19   1 M (0.05263158 0.94736842) *
##          29) compactness_se< -4.09685 161  54 M (0.33540373 0.66459627)  
##            58) compactness_se< -4.198706 105  47 M (0.44761905 0.55238095)  
##             116) smoothness_mean>=-2.349952 17   2 B (0.88235294 0.11764706) *
##             117) smoothness_mean< -2.349952 88  32 M (0.36363636 0.63636364) *
##            59) compactness_se>=-4.198706 56   7 M (0.12500000 0.87500000)  
##             118) smoothness_mean>=-2.284307 2   0 B (1.00000000 0.00000000) *
##             119) smoothness_mean< -2.284307 54   5 M (0.09259259 0.90740741) *
##        15) smoothness_mean>=-2.258569 104  30 M (0.28846154 0.71153846)  
##          30) texture_mean< 3.019682 38  17 B (0.55263158 0.44736842)  
##            60) symmetry_worst< -1.838945 13   0 B (1.00000000 0.00000000) *
##            61) symmetry_worst>=-1.838945 25   8 M (0.32000000 0.68000000)  
##             122) texture_mean>=2.982629 9   1 B (0.88888889 0.11111111) *
##             123) texture_mean< 2.982629 16   0 M (0.00000000 1.00000000) *
##          31) texture_mean>=3.019682 66   9 M (0.13636364 0.86363636)  
##            62) smoothness_mean>=-2.093138 7   0 B (1.00000000 0.00000000) *
##            63) smoothness_mean< -2.093138 59   2 M (0.03389831 0.96610169)  
##             126) compactness_se< -4.045035 2   0 B (1.00000000 0.00000000) *
##             127) compactness_se>=-4.045035 57   0 M (0.00000000 1.00000000) *
## 
## $trees[[59]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 450 M (0.49342105 0.50657895)  
##     2) texture_mean< 2.993981 443 177 B (0.60045147 0.39954853)  
##       4) compactness_se>=-2.834229 21   0 B (1.00000000 0.00000000) *
##       5) compactness_se< -2.834229 422 177 B (0.58056872 0.41943128)  
##        10) symmetry_worst< -1.327359 404 160 B (0.60396040 0.39603960)  
##          20) smoothness_mean< -2.089616 389 147 B (0.62210797 0.37789203)  
##            40) symmetry_worst>=-1.749307 176  47 B (0.73295455 0.26704545)  
##              80) smoothness_worst< -1.479154 108  16 B (0.85185185 0.14814815) *
##              81) smoothness_worst>=-1.479154 68  31 B (0.54411765 0.45588235) *
##            41) symmetry_worst< -1.749307 213 100 B (0.53051643 0.46948357)  
##              82) symmetry_worst< -1.816281 134  44 B (0.67164179 0.32835821) *
##              83) symmetry_worst>=-1.816281 79  23 M (0.29113924 0.70886076) *
##          21) smoothness_mean>=-2.089616 15   2 M (0.13333333 0.86666667)  
##            42) texture_mean< 2.434062 2   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.434062 13   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.327359 18   1 M (0.05555556 0.94444444)  
##          22) smoothness_mean< -2.349089 1   0 B (1.00000000 0.00000000) *
##          23) smoothness_mean>=-2.349089 17   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.993981 469 184 M (0.39232409 0.60767591)  
##       6) smoothness_mean< -2.362601 238 112 B (0.52941176 0.47058824)  
##        12) smoothness_mean< -2.508076 32   5 B (0.84375000 0.15625000)  
##          24) texture_worst>=4.498003 27   0 B (1.00000000 0.00000000) *
##          25) texture_worst< 4.498003 5   0 M (0.00000000 1.00000000) *
##        13) smoothness_mean>=-2.508076 206  99 M (0.48058252 0.51941748)  
##          26) compactness_se>=-3.107684 43  10 B (0.76744186 0.23255814)  
##            52) texture_mean< 3.288904 37   4 B (0.89189189 0.10810811)  
##             104) smoothness_mean< -2.388103 24   0 B (1.00000000 0.00000000) *
##             105) smoothness_mean>=-2.388103 13   4 B (0.69230769 0.30769231) *
##            53) texture_mean>=3.288904 6   0 M (0.00000000 1.00000000) *
##          27) compactness_se< -3.107684 163  66 M (0.40490798 0.59509202)  
##            54) symmetry_worst< -1.661892 129  63 B (0.51162791 0.48837209)  
##             108) compactness_se< -3.368038 107  41 B (0.61682243 0.38317757) *
##             109) compactness_se>=-3.368038 22   0 M (0.00000000 1.00000000) *
##            55) symmetry_worst>=-1.661892 34   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean>=-2.362601 231  58 M (0.25108225 0.74891775)  
##        14) smoothness_mean>=-2.094359 10   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean< -2.094359 221  48 M (0.21719457 0.78280543)  
##          30) compactness_se< -4.040144 28  12 B (0.57142857 0.42857143)  
##            60) smoothness_mean>=-2.301835 13   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean< -2.301835 15   3 M (0.20000000 0.80000000)  
##             122) compactness_se< -4.512898 3   0 B (1.00000000 0.00000000) *
##             123) compactness_se>=-4.512898 12   0 M (0.00000000 1.00000000) *
##          31) compactness_se>=-4.040144 193  32 M (0.16580311 0.83419689)  
##            62) texture_mean< 3.006671 28  12 M (0.42857143 0.57142857)  
##             124) texture_worst< 4.688121 12   0 B (1.00000000 0.00000000) *
##             125) texture_worst>=4.688121 16   0 M (0.00000000 1.00000000) *
##            63) texture_mean>=3.006671 165  20 M (0.12121212 0.87878788)  
##             126) smoothness_worst< -1.550482 6   2 B (0.66666667 0.33333333) *
##             127) smoothness_worst>=-1.550482 159  16 M (0.10062893 0.89937107) *
## 
## $trees[[60]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 444 M (0.48684211 0.51315789)  
##     2) texture_mean< 2.960364 400 170 B (0.57500000 0.42500000)  
##       4) symmetry_worst>=-1.984119 340 126 B (0.62941176 0.37058824)  
##         8) texture_mean>=2.940483 36   0 B (1.00000000 0.00000000) *
##         9) texture_mean< 2.940483 304 126 B (0.58552632 0.41447368)  
##          18) symmetry_worst< -1.786753 93  21 B (0.77419355 0.22580645)  
##            36) symmetry_worst>=-1.798344 29   0 B (1.00000000 0.00000000) *
##            37) symmetry_worst< -1.798344 64  21 B (0.67187500 0.32812500)  
##              74) symmetry_worst< -1.815934 54  11 B (0.79629630 0.20370370) *
##              75) symmetry_worst>=-1.815934 10   0 M (0.00000000 1.00000000) *
##          19) symmetry_worst>=-1.786753 211 105 B (0.50236967 0.49763033)  
##            38) compactness_se>=-3.344671 51   8 B (0.84313725 0.15686275)  
##              76) texture_mean>=2.850705 37   1 B (0.97297297 0.02702703) *
##              77) texture_mean< 2.850705 14   7 B (0.50000000 0.50000000) *
##            39) compactness_se< -3.344671 160  63 M (0.39375000 0.60625000)  
##              78) compactness_se< -4.198706 49  10 B (0.79591837 0.20408163) *
##              79) compactness_se>=-4.198706 111  24 M (0.21621622 0.78378378) *
##       5) symmetry_worst< -1.984119 60  16 M (0.26666667 0.73333333)  
##        10) texture_mean< 2.763153 6   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.763153 54  10 M (0.18518519 0.81481481)  
##          22) smoothness_mean< -2.404376 13   6 B (0.53846154 0.46153846)  
##            44) texture_mean>=2.80161 7   0 B (1.00000000 0.00000000) *
##            45) texture_mean< 2.80161 6   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean>=-2.404376 41   3 M (0.07317073 0.92682927)  
##            46) texture_mean< 2.835785 2   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.835785 39   1 M (0.02564103 0.97435897)  
##              94) symmetry_worst< -2.201068 5   1 M (0.20000000 0.80000000) *
##              95) symmetry_worst>=-2.201068 34   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.960364 512 214 M (0.41796875 0.58203125)  
##       6) texture_mean>=3.011847 367 177 M (0.48228883 0.51771117)  
##        12) texture_worst< 5.003123 269 122 B (0.54646840 0.45353160)  
##          24) smoothness_mean< -2.409448 72  16 B (0.77777778 0.22222222)  
##            48) symmetry_worst>=-2.014081 44   3 B (0.93181818 0.06818182)  
##              96) symmetry_worst< -1.440588 43   2 B (0.95348837 0.04651163) *
##              97) symmetry_worst>=-1.440588 1   0 M (0.00000000 1.00000000) *
##            49) symmetry_worst< -2.014081 28  13 B (0.53571429 0.46428571)  
##              98) smoothness_worst< -1.558711 18   3 B (0.83333333 0.16666667) *
##              99) smoothness_worst>=-1.558711 10   0 M (0.00000000 1.00000000) *
##          25) smoothness_mean>=-2.409448 197  91 M (0.46192893 0.53807107)  
##            50) smoothness_mean>=-2.383798 163  73 B (0.55214724 0.44785276)  
##             100) texture_mean< 3.216671 148  58 B (0.60810811 0.39189189) *
##             101) texture_mean>=3.216671 15   0 M (0.00000000 1.00000000) *
##            51) smoothness_mean< -2.383798 34   1 M (0.02941176 0.97058824)  
##             102) compactness_se< -4.192049 1   0 B (1.00000000 0.00000000) *
##             103) compactness_se>=-4.192049 33   0 M (0.00000000 1.00000000) *
##        13) texture_worst>=5.003123 98  30 M (0.30612245 0.69387755)  
##          26) symmetry_worst< -2.207988 19   4 B (0.78947368 0.21052632)  
##            52) compactness_se< -3.400535 15   0 B (1.00000000 0.00000000) *
##            53) compactness_se>=-3.400535 4   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-2.207988 79  15 M (0.18987342 0.81012658)  
##            54) texture_mean>=3.336476 26  12 M (0.46153846 0.53846154)  
##             108) smoothness_mean< -2.363096 17   5 B (0.70588235 0.29411765) *
##             109) smoothness_mean>=-2.363096 9   0 M (0.00000000 1.00000000) *
##            55) texture_mean< 3.336476 53   3 M (0.05660377 0.94339623)  
##             110) smoothness_mean< -2.512205 2   0 B (1.00000000 0.00000000) *
##             111) smoothness_mean>=-2.512205 51   1 M (0.01960784 0.98039216) *
##       7) texture_mean< 3.011847 145  37 M (0.25517241 0.74482759)  
##        14) smoothness_mean>=-2.307529 48  23 B (0.52083333 0.47916667)  
##          28) compactness_se< -3.629235 34   9 B (0.73529412 0.26470588)  
##            56) symmetry_worst< -1.463197 28   3 B (0.89285714 0.10714286)  
##             112) texture_worst< 4.879902 26   1 B (0.96153846 0.03846154) *
##             113) texture_worst>=4.879902 2   0 M (0.00000000 1.00000000) *
##            57) symmetry_worst>=-1.463197 6   0 M (0.00000000 1.00000000) *
##          29) compactness_se>=-3.629235 14   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean< -2.307529 97  12 M (0.12371134 0.87628866)  
##          30) texture_worst< 4.354728 6   0 B (1.00000000 0.00000000) *
##          31) texture_worst>=4.354728 91   6 M (0.06593407 0.93406593)  
##            62) smoothness_worst< -1.637109 2   0 B (1.00000000 0.00000000) *
##            63) smoothness_worst>=-1.637109 89   4 M (0.04494382 0.95505618)  
##             126) texture_mean< 2.976294 24   4 M (0.16666667 0.83333333) *
##             127) texture_mean>=2.976294 65   0 M (0.00000000 1.00000000) *
## 
## $trees[[61]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 405 M (0.44407895 0.55592105)  
##     2) texture_worst< 4.580648 395 176 B (0.55443038 0.44556962)  
##       4) smoothness_mean< -2.391199 125  32 B (0.74400000 0.25600000)  
##         8) smoothness_worst>=-1.600324 84  11 B (0.86904762 0.13095238)  
##          16) symmetry_worst< -1.448573 82   9 B (0.89024390 0.10975610)  
##            32) compactness_se>=-4.316443 56   1 B (0.98214286 0.01785714)  
##              64) texture_worst>=4.280533 48   0 B (1.00000000 0.00000000) *
##              65) texture_worst< 4.280533 8   1 B (0.87500000 0.12500000) *
##            33) compactness_se< -4.316443 26   8 B (0.69230769 0.30769231)  
##              66) texture_mean< 2.978454 21   3 B (0.85714286 0.14285714) *
##              67) texture_mean>=2.978454 5   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst>=-1.448573 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst< -1.600324 41  20 M (0.48780488 0.51219512)  
##          18) compactness_se< -4.407562 12   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-4.407562 29   8 M (0.27586207 0.72413793)  
##            38) compactness_se>=-3.439472 12   5 B (0.58333333 0.41666667)  
##              76) texture_mean< 3.038737 7   0 B (1.00000000 0.00000000) *
##              77) texture_mean>=3.038737 5   0 M (0.00000000 1.00000000) *
##            39) compactness_se< -3.439472 17   1 M (0.05882353 0.94117647)  
##              78) texture_mean>=3.036253 1   0 B (1.00000000 0.00000000) *
##              79) texture_mean< 3.036253 16   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean>=-2.391199 270 126 M (0.46666667 0.53333333)  
##        10) texture_mean< 3.035912 244 121 B (0.50409836 0.49590164)  
##          20) smoothness_worst< -1.48191 89  30 B (0.66292135 0.33707865)  
##            40) texture_mean>=2.719309 79  21 B (0.73417722 0.26582278)  
##              80) texture_mean< 2.892314 34   0 B (1.00000000 0.00000000) *
##              81) texture_mean>=2.892314 45  21 B (0.53333333 0.46666667) *
##            41) texture_mean< 2.719309 10   1 M (0.10000000 0.90000000)  
##              82) compactness_se< -3.737252 1   0 B (1.00000000 0.00000000) *
##              83) compactness_se>=-3.737252 9   0 M (0.00000000 1.00000000) *
##          21) smoothness_worst>=-1.48191 155  64 M (0.41290323 0.58709677)  
##            42) smoothness_worst>=-1.477976 111  51 B (0.54054054 0.45945946)  
##              84) smoothness_worst< -1.472307 23   0 B (1.00000000 0.00000000) *
##              85) smoothness_worst>=-1.472307 88  37 M (0.42045455 0.57954545) *
##            43) smoothness_worst< -1.477976 44   4 M (0.09090909 0.90909091)  
##              86) texture_worst< 4.136746 4   0 B (1.00000000 0.00000000) *
##              87) texture_worst>=4.136746 40   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=3.035912 26   3 M (0.11538462 0.88461538)  
##          22) texture_worst< 4.527762 3   0 B (1.00000000 0.00000000) *
##          23) texture_worst>=4.527762 23   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.580648 517 186 M (0.35976789 0.64023211)  
##       6) smoothness_mean< -2.508076 20   3 B (0.85000000 0.15000000)  
##        12) compactness_se>=-4.667693 15   0 B (1.00000000 0.00000000) *
##        13) compactness_se< -4.667693 5   2 M (0.40000000 0.60000000)  
##          26) texture_mean>=2.992821 2   0 B (1.00000000 0.00000000) *
##          27) texture_mean< 2.992821 3   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean>=-2.508076 497 169 M (0.34004024 0.65995976)  
##        14) smoothness_worst>=-1.400053 23   5 B (0.78260870 0.21739130)  
##          28) compactness_se>=-3.466778 14   0 B (1.00000000 0.00000000) *
##          29) compactness_se< -3.466778 9   4 M (0.44444444 0.55555556)  
##            58) smoothness_mean< -2.356979 4   0 B (1.00000000 0.00000000) *
##            59) smoothness_mean>=-2.356979 5   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst< -1.400053 474 151 M (0.31856540 0.68143460)  
##          30) texture_mean< 2.91424 26   9 B (0.65384615 0.34615385)  
##            60) symmetry_worst< -1.370267 21   4 B (0.80952381 0.19047619)  
##             120) texture_mean>=2.855863 16   0 B (1.00000000 0.00000000) *
##             121) texture_mean< 2.855863 5   1 M (0.20000000 0.80000000) *
##            61) symmetry_worst>=-1.370267 5   0 M (0.00000000 1.00000000) *
##          31) texture_mean>=2.91424 448 134 M (0.29910714 0.70089286)  
##            62) symmetry_worst< -2.193154 40  17 B (0.57500000 0.42500000)  
##             124) symmetry_worst>=-2.242858 24   5 B (0.79166667 0.20833333) *
##             125) symmetry_worst< -2.242858 16   4 M (0.25000000 0.75000000) *
##            63) symmetry_worst>=-2.193154 408 111 M (0.27205882 0.72794118)  
##             126) compactness_se< -3.673868 255  87 M (0.34117647 0.65882353) *
##             127) compactness_se>=-3.673868 153  24 M (0.15686275 0.84313725) *
## 
## $trees[[62]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 431 B (0.52741228 0.47258772)  
##     2) smoothness_worst>=-1.476605 272  95 B (0.65073529 0.34926471)  
##       4) symmetry_worst< -1.64088 154  37 B (0.75974026 0.24025974)  
##         8) texture_mean< 2.933308 67   3 B (0.95522388 0.04477612)  
##          16) compactness_se>=-3.961747 54   0 B (1.00000000 0.00000000) *
##          17) compactness_se< -3.961747 13   3 B (0.76923077 0.23076923)  
##            34) texture_mean< 2.818375 10   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.818375 3   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=2.933308 87  34 B (0.60919540 0.39080460)  
##          18) texture_worst>=4.599485 72  19 B (0.73611111 0.26388889)  
##            36) texture_worst< 4.871172 44   3 B (0.93181818 0.06818182)  
##              72) texture_mean>=2.952217 41   0 B (1.00000000 0.00000000) *
##              73) texture_mean< 2.952217 3   0 M (0.00000000 1.00000000) *
##            37) texture_worst>=4.871172 28  12 M (0.42857143 0.57142857)  
##              74) smoothness_worst>=-1.432414 11   0 B (1.00000000 0.00000000) *
##              75) smoothness_worst< -1.432414 17   1 M (0.05882353 0.94117647) *
##          19) texture_worst< 4.599485 15   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.64088 118  58 B (0.50847458 0.49152542)  
##        10) symmetry_worst>=-1.631268 104  44 B (0.57692308 0.42307692)  
##          20) smoothness_mean< -2.144789 88  31 B (0.64772727 0.35227273)  
##            40) texture_mean< 2.777879 17   0 B (1.00000000 0.00000000) *
##            41) texture_mean>=2.777879 71  31 B (0.56338028 0.43661972)  
##              82) texture_worst>=4.223381 60  20 B (0.66666667 0.33333333) *
##              83) texture_worst< 4.223381 11   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean>=-2.144789 16   3 M (0.18750000 0.81250000)  
##            42) smoothness_mean>=-2.000349 5   2 B (0.60000000 0.40000000)  
##              84) texture_mean< 2.688296 3   0 B (1.00000000 0.00000000) *
##              85) texture_mean>=2.688296 2   0 M (0.00000000 1.00000000) *
##            43) smoothness_mean< -2.000349 11   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst< -1.631268 14   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst< -1.476605 640 304 M (0.47500000 0.52500000)  
##       6) smoothness_worst< -1.501069 506 233 B (0.53952569 0.46047431)  
##        12) texture_mean< 2.871568 66  14 B (0.78787879 0.21212121)  
##          24) texture_mean>=2.772893 41   1 B (0.97560976 0.02439024)  
##            48) compactness_se>=-4.157608 34   0 B (1.00000000 0.00000000) *
##            49) compactness_se< -4.157608 7   1 B (0.85714286 0.14285714)  
##              98) compactness_se< -4.217097 6   0 B (1.00000000 0.00000000) *
##              99) compactness_se>=-4.217097 1   0 M (0.00000000 1.00000000) *
##          25) texture_mean< 2.772893 25  12 M (0.48000000 0.52000000)  
##            50) smoothness_mean>=-2.298598 6   0 B (1.00000000 0.00000000) *
##            51) smoothness_mean< -2.298598 19   6 M (0.31578947 0.68421053)  
##             102) compactness_se< -3.903511 3   0 B (1.00000000 0.00000000) *
##             103) compactness_se>=-3.903511 16   3 M (0.18750000 0.81250000) *
##        13) texture_mean>=2.871568 440 219 B (0.50227273 0.49772727)  
##          26) texture_worst>=4.49992 364 161 B (0.55769231 0.44230769)  
##            52) compactness_se>=-4.671834 336 138 B (0.58928571 0.41071429)  
##             104) smoothness_mean< -2.407891 151  39 B (0.74172185 0.25827815) *
##             105) smoothness_mean>=-2.407891 185  86 M (0.46486486 0.53513514) *
##            53) compactness_se< -4.671834 28   5 M (0.17857143 0.82142857)  
##             106) compactness_se< -4.938351 3   0 B (1.00000000 0.00000000) *
##             107) compactness_se>=-4.938351 25   2 M (0.08000000 0.92000000) *
##          27) texture_worst< 4.49992 76  18 M (0.23684211 0.76315789)  
##            54) texture_worst< 4.389172 24   9 B (0.62500000 0.37500000)  
##             108) smoothness_worst>=-1.59459 11   0 B (1.00000000 0.00000000) *
##             109) smoothness_worst< -1.59459 13   4 M (0.30769231 0.69230769) *
##            55) texture_worst>=4.389172 52   3 M (0.05769231 0.94230769)  
##             110) smoothness_worst>=-1.530722 2   0 B (1.00000000 0.00000000) *
##             111) smoothness_worst< -1.530722 50   1 M (0.02000000 0.98000000) *
##       7) smoothness_worst>=-1.501069 134  31 M (0.23134328 0.76865672)  
##        14) symmetry_worst>=-1.729382 63  26 M (0.41269841 0.58730159)  
##          28) compactness_se< -4.198706 14   0 B (1.00000000 0.00000000) *
##          29) compactness_se>=-4.198706 49  12 M (0.24489796 0.75510204)  
##            58) texture_mean>=3.355261 6   0 B (1.00000000 0.00000000) *
##            59) texture_mean< 3.355261 43   6 M (0.13953488 0.86046512)  
##             118) texture_mean< 2.644674 3   0 B (1.00000000 0.00000000) *
##             119) texture_mean>=2.644674 40   3 M (0.07500000 0.92500000) *
##        15) symmetry_worst< -1.729382 71   5 M (0.07042254 0.92957746)  
##          30) compactness_se>=-3.24425 3   1 B (0.66666667 0.33333333)  
##            60) texture_mean< 2.938487 2   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=2.938487 1   0 M (0.00000000 1.00000000) *
##          31) compactness_se< -3.24425 68   3 M (0.04411765 0.95588235)  
##            62) texture_mean< 2.755881 1   0 B (1.00000000 0.00000000) *
##            63) texture_mean>=2.755881 67   2 M (0.02985075 0.97014925)  
##             126) smoothness_mean>=-2.224795 2   1 B (0.50000000 0.50000000) *
##             127) smoothness_mean< -2.224795 65   1 M (0.01538462 0.98461538) *
## 
## $trees[[63]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 441 B (0.51644737 0.48355263)  
##     2) texture_mean< 3.006425 464 183 B (0.60560345 0.39439655)  
##       4) texture_worst< 4.609772 366 127 B (0.65300546 0.34699454)  
##         8) smoothness_worst< -1.500463 194  48 B (0.75257732 0.24742268)  
##          16) symmetry_worst>=-1.637868 52   1 B (0.98076923 0.01923077)  
##            32) smoothness_worst>=-1.627077 51   0 B (1.00000000 0.00000000) *
##            33) smoothness_worst< -1.627077 1   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst< -1.637868 142  47 B (0.66901408 0.33098592)  
##            34) symmetry_worst< -1.787433 105  24 B (0.77142857 0.22857143)  
##              68) texture_worst>=4.471737 49   0 B (1.00000000 0.00000000) *
##              69) texture_worst< 4.471737 56  24 B (0.57142857 0.42857143) *
##            35) symmetry_worst>=-1.787433 37  14 M (0.37837838 0.62162162)  
##              70) smoothness_mean< -2.440597 12   2 B (0.83333333 0.16666667) *
##              71) smoothness_mean>=-2.440597 25   4 M (0.16000000 0.84000000) *
##         9) smoothness_worst>=-1.500463 172  79 B (0.54069767 0.45930233)  
##          18) smoothness_mean>=-2.267218 104  29 B (0.72115385 0.27884615)  
##            36) smoothness_mean< -2.241492 29   0 B (1.00000000 0.00000000) *
##            37) smoothness_mean>=-2.241492 75  29 B (0.61333333 0.38666667)  
##              74) compactness_se< -3.646366 40   6 B (0.85000000 0.15000000) *
##              75) compactness_se>=-3.646366 35  12 M (0.34285714 0.65714286) *
##          19) smoothness_mean< -2.267218 68  18 M (0.26470588 0.73529412)  
##            38) compactness_se< -3.88564 30  15 B (0.50000000 0.50000000)  
##              76) compactness_se>=-3.961747 13   2 B (0.84615385 0.15384615) *
##              77) compactness_se< -3.961747 17   4 M (0.23529412 0.76470588) *
##            39) compactness_se>=-3.88564 38   3 M (0.07894737 0.92105263)  
##              78) smoothness_mean< -2.416607 3   0 B (1.00000000 0.00000000) *
##              79) smoothness_mean>=-2.416607 35   0 M (0.00000000 1.00000000) *
##       5) texture_worst>=4.609772 98  42 M (0.42857143 0.57142857)  
##        10) texture_worst>=4.622927 74  32 B (0.56756757 0.43243243)  
##          20) texture_worst< 4.679467 22   2 B (0.90909091 0.09090909)  
##            40) texture_mean>=2.855863 20   0 B (1.00000000 0.00000000) *
##            41) texture_mean< 2.855863 2   0 M (0.00000000 1.00000000) *
##          21) texture_worst>=4.679467 52  22 M (0.42307692 0.57692308)  
##            42) symmetry_worst< -1.382725 43  21 B (0.51162791 0.48837209)  
##              84) texture_mean< 2.934023 10   0 B (1.00000000 0.00000000) *
##              85) texture_mean>=2.934023 33  12 M (0.36363636 0.63636364) *
##            43) symmetry_worst>=-1.382725 9   0 M (0.00000000 1.00000000) *
##        11) texture_worst< 4.622927 24   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=3.006425 448 190 M (0.42410714 0.57589286)  
##       6) compactness_se< -4.60264 19   0 B (1.00000000 0.00000000) *
##       7) compactness_se>=-4.60264 429 171 M (0.39860140 0.60139860)  
##        14) texture_mean>=3.099415 210 100 B (0.52380952 0.47619048)  
##          28) compactness_se< -3.334337 157  58 B (0.63057325 0.36942675)  
##            56) compactness_se>=-3.902076 112  27 B (0.75892857 0.24107143)  
##             112) texture_mean< 3.428781 101  16 B (0.84158416 0.15841584) *
##             113) texture_mean>=3.428781 11   0 M (0.00000000 1.00000000) *
##            57) compactness_se< -3.902076 45  14 M (0.31111111 0.68888889)  
##             114) smoothness_worst< -1.552639 18   5 B (0.72222222 0.27777778) *
##             115) smoothness_worst>=-1.552639 27   1 M (0.03703704 0.96296296) *
##          29) compactness_se>=-3.334337 53  11 M (0.20754717 0.79245283)  
##            58) symmetry_worst>=-1.545802 16   6 B (0.62500000 0.37500000)  
##             116) texture_mean>=3.19534 10   0 B (1.00000000 0.00000000) *
##             117) texture_mean< 3.19534 6   0 M (0.00000000 1.00000000) *
##            59) symmetry_worst< -1.545802 37   1 M (0.02702703 0.97297297)  
##             118) smoothness_worst>=-1.441158 1   0 B (1.00000000 0.00000000) *
##             119) smoothness_worst< -1.441158 36   0 M (0.00000000 1.00000000) *
##        15) texture_mean< 3.099415 219  61 M (0.27853881 0.72146119)  
##          30) symmetry_worst< -1.661892 132  53 M (0.40151515 0.59848485)  
##            60) symmetry_worst>=-2.081072 83  35 B (0.57831325 0.42168675)  
##             120) texture_mean< 3.083741 62  17 B (0.72580645 0.27419355) *
##             121) texture_mean>=3.083741 21   3 M (0.14285714 0.85714286) *
##            61) symmetry_worst< -2.081072 49   5 M (0.10204082 0.89795918)  
##             122) compactness_se< -3.949082 4   0 B (1.00000000 0.00000000) *
##             123) compactness_se>=-3.949082 45   1 M (0.02222222 0.97777778) *
##          31) symmetry_worst>=-1.661892 87   8 M (0.09195402 0.90804598)  
##            62) compactness_se>=-3.492992 19   7 M (0.36842105 0.63157895)  
##             124) texture_mean< 3.061016 9   2 B (0.77777778 0.22222222) *
##             125) texture_mean>=3.061016 10   0 M (0.00000000 1.00000000) *
##            63) compactness_se< -3.492992 68   1 M (0.01470588 0.98529412)  
##             126) texture_worst< 4.485794 1   0 B (1.00000000 0.00000000) *
##             127) texture_worst>=4.485794 67   0 M (0.00000000 1.00000000) *
## 
## $trees[[64]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 450 M (0.49342105 0.50657895)  
##     2) texture_mean< 3.006425 500 201 B (0.59800000 0.40200000)  
##       4) texture_mean>=3.001714 21   0 B (1.00000000 0.00000000) *
##       5) texture_mean< 3.001714 479 201 B (0.58037578 0.41962422)  
##        10) texture_mean< 2.97604 425 165 B (0.61176471 0.38823529)  
##          20) symmetry_worst>=-2.041855 391 140 B (0.64194373 0.35805627)  
##            40) symmetry_worst< -1.294443 356 118 B (0.66853933 0.33146067)  
##              80) compactness_se>=-3.344528 44   2 B (0.95454545 0.04545455) *
##              81) compactness_se< -3.344528 312 116 B (0.62820513 0.37179487) *
##            41) symmetry_worst>=-1.294443 35  13 M (0.37142857 0.62857143)  
##              82) compactness_se>=-2.588521 11   0 B (1.00000000 0.00000000) *
##              83) compactness_se< -2.588521 24   2 M (0.08333333 0.91666667) *
##          21) symmetry_worst< -2.041855 34   9 M (0.26470588 0.73529412)  
##            42) texture_mean< 2.764104 3   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.764104 31   6 M (0.19354839 0.80645161)  
##              86) smoothness_worst>=-1.529486 3   0 B (1.00000000 0.00000000) *
##              87) smoothness_worst< -1.529486 28   3 M (0.10714286 0.89285714) *
##        11) texture_mean>=2.97604 54  18 M (0.33333333 0.66666667)  
##          22) smoothness_mean>=-2.303171 18   4 B (0.77777778 0.22222222)  
##            44) smoothness_worst< -1.427784 14   0 B (1.00000000 0.00000000) *
##            45) smoothness_worst>=-1.427784 4   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean< -2.303171 36   4 M (0.11111111 0.88888889)  
##            46) smoothness_worst< -1.637109 4   0 B (1.00000000 0.00000000) *
##            47) smoothness_worst>=-1.637109 32   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=3.006425 412 151 M (0.36650485 0.63349515)  
##       6) smoothness_worst< -1.618721 42  11 B (0.73809524 0.26190476)  
##        12) compactness_se< -3.004445 31   2 B (0.93548387 0.06451613)  
##          24) symmetry_worst>=-2.828019 29   0 B (1.00000000 0.00000000) *
##          25) symmetry_worst< -2.828019 2   0 M (0.00000000 1.00000000) *
##        13) compactness_se>=-3.004445 11   2 M (0.18181818 0.81818182)  
##          26) texture_mean< 3.076827 2   0 B (1.00000000 0.00000000) *
##          27) texture_mean>=3.076827 9   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.618721 370 120 M (0.32432432 0.67567568)  
##        14) symmetry_worst< -2.023413 86  39 B (0.54651163 0.45348837)  
##          28) texture_mean>=3.067819 59  16 B (0.72881356 0.27118644)  
##            56) texture_mean< 3.321787 47   5 B (0.89361702 0.10638298)  
##             112) smoothness_mean< -2.279391 44   2 B (0.95454545 0.04545455) *
##             113) smoothness_mean>=-2.279391 3   0 M (0.00000000 1.00000000) *
##            57) texture_mean>=3.321787 12   1 M (0.08333333 0.91666667)  
##             114) texture_mean>=3.337721 1   0 B (1.00000000 0.00000000) *
##             115) texture_mean< 3.337721 11   0 M (0.00000000 1.00000000) *
##          29) texture_mean< 3.067819 27   4 M (0.14814815 0.85185185)  
##            58) compactness_se>=-3.335805 4   1 B (0.75000000 0.25000000)  
##             116) texture_mean>=3.032546 3   0 B (1.00000000 0.00000000) *
##             117) texture_mean< 3.032546 1   0 M (0.00000000 1.00000000) *
##            59) compactness_se< -3.335805 23   1 M (0.04347826 0.95652174)  
##             118) compactness_se< -4.078062 1   0 B (1.00000000 0.00000000) *
##             119) compactness_se>=-4.078062 22   0 M (0.00000000 1.00000000) *
##        15) symmetry_worst>=-2.023413 284  73 M (0.25704225 0.74295775)  
##          30) texture_worst>=4.80876 166  57 M (0.34337349 0.65662651)  
##            60) texture_worst< 4.820212 11   0 B (1.00000000 0.00000000) *
##            61) texture_worst>=4.820212 155  46 M (0.29677419 0.70322581)  
##             122) symmetry_worst>=-1.925345 125  46 M (0.36800000 0.63200000) *
##             123) symmetry_worst< -1.925345 30   0 M (0.00000000 1.00000000) *
##          31) texture_worst< 4.80876 118  16 M (0.13559322 0.86440678)  
##            62) texture_mean< 3.022617 8   2 B (0.75000000 0.25000000)  
##             124) symmetry_worst< -1.706686 6   0 B (1.00000000 0.00000000) *
##             125) symmetry_worst>=-1.706686 2   0 M (0.00000000 1.00000000) *
##            63) texture_mean>=3.022617 110  10 M (0.09090909 0.90909091)  
##             126) smoothness_worst>=-1.506747 43   9 M (0.20930233 0.79069767) *
##             127) smoothness_worst< -1.506747 67   1 M (0.01492537 0.98507463) *
## 
## $trees[[65]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 455 B (0.50109649 0.49890351)  
##     2) symmetry_worst< -1.815238 366 142 B (0.61202186 0.38797814)  
##       4) symmetry_worst>=-2.379234 341 120 B (0.64809384 0.35190616)  
##         8) texture_worst< 4.897936 253  68 B (0.73122530 0.26877470)  
##          16) texture_worst>=4.189433 227  50 B (0.77973568 0.22026432)  
##            32) symmetry_worst>=-1.955552 105  11 B (0.89523810 0.10476190)  
##              64) symmetry_worst< -1.857225 76   1 B (0.98684211 0.01315789) *
##              65) symmetry_worst>=-1.857225 29  10 B (0.65517241 0.34482759) *
##            33) symmetry_worst< -1.955552 122  39 B (0.68032787 0.31967213)  
##              66) symmetry_worst< -1.964096 107  27 B (0.74766355 0.25233645) *
##              67) symmetry_worst>=-1.964096 15   3 M (0.20000000 0.80000000) *
##          17) texture_worst< 4.189433 26   8 M (0.30769231 0.69230769)  
##            34) texture_mean< 2.753964 6   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.753964 20   2 M (0.10000000 0.90000000)  
##              70) smoothness_mean< -2.479158 2   0 B (1.00000000 0.00000000) *
##              71) smoothness_mean>=-2.479158 18   0 M (0.00000000 1.00000000) *
##         9) texture_worst>=4.897936 88  36 M (0.40909091 0.59090909)  
##          18) texture_worst>=4.987149 56  20 B (0.64285714 0.35714286)  
##            36) smoothness_worst< -1.51239 44   9 B (0.79545455 0.20454545)  
##              72) texture_mean< 3.313386 26   0 B (1.00000000 0.00000000) *
##              73) texture_mean>=3.313386 18   9 B (0.50000000 0.50000000) *
##            37) smoothness_worst>=-1.51239 12   1 M (0.08333333 0.91666667)  
##              74) symmetry_worst< -2.219322 1   0 B (1.00000000 0.00000000) *
##              75) symmetry_worst>=-2.219322 11   0 M (0.00000000 1.00000000) *
##          19) texture_worst< 4.987149 32   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst< -2.379234 25   3 M (0.12000000 0.88000000)  
##        10) texture_mean< 2.827797 2   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.827797 23   1 M (0.04347826 0.95652174)  
##          22) texture_mean>=3.276838 1   0 B (1.00000000 0.00000000) *
##          23) texture_mean< 3.276838 22   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.815238 546 233 M (0.42673993 0.57326007)  
##       6) smoothness_worst>=-1.568787 457 220 M (0.48140044 0.51859956)  
##        12) symmetry_worst>=-1.809351 429 209 B (0.51282051 0.48717949)  
##          24) texture_worst< 4.50835 144  47 B (0.67361111 0.32638889)  
##            48) symmetry_worst< -1.64088 50   2 B (0.96000000 0.04000000)  
##              96) texture_mean< 2.973391 49   1 B (0.97959184 0.02040816) *
##              97) texture_mean>=2.973391 1   0 M (0.00000000 1.00000000) *
##            49) symmetry_worst>=-1.64088 94  45 B (0.52127660 0.47872340)  
##              98) symmetry_worst>=-1.633673 83  34 B (0.59036145 0.40963855) *
##              99) symmetry_worst< -1.633673 11   0 M (0.00000000 1.00000000) *
##          25) texture_worst>=4.50835 285 123 M (0.43157895 0.56842105)  
##            50) texture_worst>=4.555292 244 121 M (0.49590164 0.50409836)  
##             100) symmetry_worst< -1.590948 134  52 B (0.61194030 0.38805970) *
##             101) symmetry_worst>=-1.590948 110  39 M (0.35454545 0.64545455) *
##            51) texture_worst< 4.555292 41   2 M (0.04878049 0.95121951)  
##             102) texture_mean< 2.79419 1   0 B (1.00000000 0.00000000) *
##             103) texture_mean>=2.79419 40   1 M (0.02500000 0.97500000) *
##        13) symmetry_worst< -1.809351 28   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst< -1.568787 89  13 M (0.14606742 0.85393258)  
##        14) texture_mean< 2.933058 5   0 B (1.00000000 0.00000000) *
##        15) texture_mean>=2.933058 84   8 M (0.09523810 0.90476190)  
##          30) texture_worst< 4.334485 3   0 B (1.00000000 0.00000000) *
##          31) texture_worst>=4.334485 81   5 M (0.06172840 0.93827160)  
##            62) compactness_se< -4.260936 16   4 M (0.25000000 0.75000000)  
##             124) smoothness_mean>=-2.458527 4   0 B (1.00000000 0.00000000) *
##             125) smoothness_mean< -2.458527 12   0 M (0.00000000 1.00000000) *
##            63) compactness_se>=-4.260936 65   1 M (0.01538462 0.98461538)  
##             126) smoothness_mean>=-2.358802 11   1 M (0.09090909 0.90909091) *
##             127) smoothness_mean< -2.358802 54   0 M (0.00000000 1.00000000) *
## 
## $trees[[66]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 421 M (0.46162281 0.53837719)  
##     2) texture_worst>=4.753106 310 132 B (0.57419355 0.42580645)  
##       4) texture_mean< 3.243166 241  86 B (0.64315353 0.35684647)  
##         8) texture_mean>=3.212856 61   3 B (0.95081967 0.04918033)  
##          16) texture_worst< 5.194184 58   0 B (1.00000000 0.00000000) *
##          17) texture_worst>=5.194184 3   0 M (0.00000000 1.00000000) *
##         9) texture_mean< 3.212856 180  83 B (0.53888889 0.46111111)  
##          18) compactness_se< -2.865029 166  69 B (0.58433735 0.41566265)  
##            36) compactness_se>=-4.353745 141  48 B (0.65957447 0.34042553)  
##              72) smoothness_worst< -1.52382 42   0 B (1.00000000 0.00000000) *
##              73) smoothness_worst>=-1.52382 99  48 B (0.51515152 0.48484848) *
##            37) compactness_se< -4.353745 25   4 M (0.16000000 0.84000000)  
##              74) compactness_se< -4.899363 3   0 B (1.00000000 0.00000000) *
##              75) compactness_se>=-4.899363 22   1 M (0.04545455 0.95454545) *
##          19) compactness_se>=-2.865029 14   0 M (0.00000000 1.00000000) *
##       5) texture_mean>=3.243166 69  23 M (0.33333333 0.66666667)  
##        10) symmetry_worst< -2.063958 16   5 B (0.68750000 0.31250000)  
##          20) compactness_se< -3.424051 11   0 B (1.00000000 0.00000000) *
##          21) compactness_se>=-3.424051 5   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-2.063958 53  12 M (0.22641509 0.77358491)  
##          22) texture_worst>=5.386175 20  10 B (0.50000000 0.50000000)  
##            44) texture_mean< 3.407548 10   0 B (1.00000000 0.00000000) *
##            45) texture_mean>=3.407548 10   0 M (0.00000000 1.00000000) *
##          23) texture_worst< 5.386175 33   2 M (0.06060606 0.93939394)  
##            46) smoothness_worst< -1.60979 2   0 B (1.00000000 0.00000000) *
##            47) smoothness_worst>=-1.60979 31   0 M (0.00000000 1.00000000) *
##     3) texture_worst< 4.753106 602 243 M (0.40365449 0.59634551)  
##       6) compactness_se>=-2.749072 14   0 B (1.00000000 0.00000000) *
##       7) compactness_se< -2.749072 588 229 M (0.38945578 0.61054422)  
##        14) compactness_se< -3.717089 303 147 M (0.48514851 0.51485149)  
##          28) smoothness_worst< -1.451541 226  91 B (0.59734513 0.40265487)  
##            56) texture_worst< 4.738904 214  79 B (0.63084112 0.36915888)  
##             112) texture_mean>=2.922624 99  22 B (0.77777778 0.22222222) *
##             113) texture_mean< 2.922624 115  57 B (0.50434783 0.49565217) *
##            57) texture_worst>=4.738904 12   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst>=-1.451541 77  12 M (0.15584416 0.84415584)  
##            58) texture_mean< 2.803301 14   5 B (0.64285714 0.35714286)  
##             116) smoothness_mean< -2.081877 9   0 B (1.00000000 0.00000000) *
##             117) smoothness_mean>=-2.081877 5   0 M (0.00000000 1.00000000) *
##            59) texture_mean>=2.803301 63   3 M (0.04761905 0.95238095)  
##             118) texture_worst>=4.630824 2   0 B (1.00000000 0.00000000) *
##             119) texture_worst< 4.630824 61   1 M (0.01639344 0.98360656) *
##        15) compactness_se>=-3.717089 285  82 M (0.28771930 0.71228070)  
##          30) texture_mean< 2.644674 14   0 B (1.00000000 0.00000000) *
##          31) texture_mean>=2.644674 271  68 M (0.25092251 0.74907749)  
##            62) smoothness_worst>=-1.476409 73  32 M (0.43835616 0.56164384)  
##             124) compactness_se< -3.294139 52  20 B (0.61538462 0.38461538) *
##             125) compactness_se>=-3.294139 21   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst< -1.476409 198  36 M (0.18181818 0.81818182)  
##             126) compactness_se>=-3.431316 69  25 M (0.36231884 0.63768116) *
##             127) compactness_se< -3.431316 129  11 M (0.08527132 0.91472868) *
## 
## $trees[[67]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 399 M (0.43750000 0.56250000)  
##     2) symmetry_worst>=-1.749963 460 226 B (0.50869565 0.49130435)  
##       4) smoothness_mean< -2.214122 413 187 B (0.54721550 0.45278450)  
##         8) compactness_se>=-4.671834 379 157 B (0.58575198 0.41424802)  
##          16) smoothness_worst< -1.496036 180  49 B (0.72777778 0.27222222)  
##            32) texture_mean< 3.00667 83   4 B (0.95180723 0.04819277)  
##              64) smoothness_mean>=-2.521117 77   1 B (0.98701299 0.01298701) *
##              65) smoothness_mean< -2.521117 6   3 B (0.50000000 0.50000000) *
##            33) texture_mean>=3.00667 97  45 B (0.53608247 0.46391753)  
##              66) texture_mean>=3.07915 67  18 B (0.73134328 0.26865672) *
##              67) texture_mean< 3.07915 30   3 M (0.10000000 0.90000000) *
##          17) smoothness_worst>=-1.496036 199  91 M (0.45728643 0.54271357)  
##            34) symmetry_worst< -1.70946 25   2 B (0.92000000 0.08000000)  
##              68) smoothness_worst>=-1.484675 23   0 B (1.00000000 0.00000000) *
##              69) smoothness_worst< -1.484675 2   0 M (0.00000000 1.00000000) *
##            35) symmetry_worst>=-1.70946 174  68 M (0.39080460 0.60919540)  
##              70) compactness_se< -4.420355 16   0 B (1.00000000 0.00000000) *
##              71) compactness_se>=-4.420355 158  52 M (0.32911392 0.67088608) *
##         9) compactness_se< -4.671834 34   4 M (0.11764706 0.88235294)  
##          18) smoothness_mean>=-2.441817 4   0 B (1.00000000 0.00000000) *
##          19) smoothness_mean< -2.441817 30   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean>=-2.214122 47   8 M (0.17021277 0.82978723)  
##        10) compactness_se< -3.646366 9   3 B (0.66666667 0.33333333)  
##          20) texture_worst< 4.673074 7   1 B (0.85714286 0.14285714)  
##            40) texture_mean>=2.553793 6   0 B (1.00000000 0.00000000) *
##            41) texture_mean< 2.553793 1   0 M (0.00000000 1.00000000) *
##          21) texture_worst>=4.673074 2   0 M (0.00000000 1.00000000) *
##        11) compactness_se>=-3.646366 38   2 M (0.05263158 0.94736842)  
##          22) texture_mean>=2.991366 6   2 M (0.33333333 0.66666667)  
##            44) texture_mean< 3.044522 2   0 B (1.00000000 0.00000000) *
##            45) texture_mean>=3.044522 4   0 M (0.00000000 1.00000000) *
##          23) texture_mean< 2.991366 32   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst< -1.749963 452 165 M (0.36504425 0.63495575)  
##       6) symmetry_worst< -1.776275 378 158 M (0.41798942 0.58201058)  
##        12) smoothness_worst< -1.603315 37   7 B (0.81081081 0.18918919)  
##          24) smoothness_mean< -2.373736 32   2 B (0.93750000 0.06250000)  
##            48) smoothness_mean>=-2.535018 24   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean< -2.535018 8   2 B (0.75000000 0.25000000)  
##              98) symmetry_worst< -2.137435 5   0 B (1.00000000 0.00000000) *
##              99) symmetry_worst>=-2.137435 3   1 M (0.33333333 0.66666667) *
##          25) smoothness_mean>=-2.373736 5   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst>=-1.603315 341 128 M (0.37536657 0.62463343)  
##          26) smoothness_mean>=-2.14559 12   0 B (1.00000000 0.00000000) *
##          27) smoothness_mean< -2.14559 329 116 M (0.35258359 0.64741641)  
##            54) texture_worst< 4.907333 256 105 M (0.41015625 0.58984375)  
##             108) texture_worst>=4.803681 18   0 B (1.00000000 0.00000000) *
##             109) texture_worst< 4.803681 238  87 M (0.36554622 0.63445378) *
##            55) texture_worst>=4.907333 73  11 M (0.15068493 0.84931507)  
##             110) symmetry_worst< -2.207988 6   1 B (0.83333333 0.16666667) *
##             111) symmetry_worst>=-2.207988 67   6 M (0.08955224 0.91044776) *
##       7) symmetry_worst>=-1.776275 74   7 M (0.09459459 0.90540541)  
##        14) texture_worst< 4.422428 16   6 M (0.37500000 0.62500000)  
##          28) texture_mean>=2.842704 6   0 B (1.00000000 0.00000000) *
##          29) texture_mean< 2.842704 10   0 M (0.00000000 1.00000000) *
##        15) texture_worst>=4.422428 58   1 M (0.01724138 0.98275862)  
##          30) smoothness_worst>=-1.385102 1   0 B (1.00000000 0.00000000) *
##          31) smoothness_worst< -1.385102 57   0 M (0.00000000 1.00000000) *
## 
## $trees[[68]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 453 B (0.50328947 0.49671053)  
##     2) smoothness_worst< -1.501069 487 209 B (0.57084189 0.42915811)  
##       4) smoothness_worst>=-1.508375 42   4 B (0.90476190 0.09523810)  
##         8) texture_mean< 3.143747 38   0 B (1.00000000 0.00000000) *
##         9) texture_mean>=3.143747 4   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.508375 445 205 B (0.53932584 0.46067416)  
##        10) symmetry_worst< -1.787433 252  92 B (0.63492063 0.36507937)  
##          20) symmetry_worst>=-2.222015 208  62 B (0.70192308 0.29807692)  
##            40) smoothness_worst< -1.558926 98  16 B (0.83673469 0.16326531)  
##              80) smoothness_mean< -2.332092 94  12 B (0.87234043 0.12765957) *
##              81) smoothness_mean>=-2.332092 4   0 M (0.00000000 1.00000000) *
##            41) smoothness_worst>=-1.558926 110  46 B (0.58181818 0.41818182)  
##              82) smoothness_mean>=-2.347868 59   8 B (0.86440678 0.13559322) *
##              83) smoothness_mean< -2.347868 51  13 M (0.25490196 0.74509804) *
##          21) symmetry_worst< -2.222015 44  14 M (0.31818182 0.68181818)  
##            42) smoothness_worst>=-1.543939 8   0 B (1.00000000 0.00000000) *
##            43) smoothness_worst< -1.543939 36   6 M (0.16666667 0.83333333)  
##              86) texture_mean< 2.889781 4   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.889781 32   2 M (0.06250000 0.93750000) *
##        11) symmetry_worst>=-1.787433 193  80 M (0.41450777 0.58549223)  
##          22) symmetry_worst>=-1.750623 152  76 B (0.50000000 0.50000000)  
##            44) symmetry_worst< -1.658507 36   6 B (0.83333333 0.16666667)  
##              88) smoothness_mean< -2.400477 25   1 B (0.96000000 0.04000000) *
##              89) smoothness_mean>=-2.400477 11   5 B (0.54545455 0.45454545) *
##            45) symmetry_worst>=-1.658507 116  46 M (0.39655172 0.60344828)  
##              90) smoothness_mean>=-2.450976 71  31 B (0.56338028 0.43661972) *
##              91) smoothness_mean< -2.450976 45   6 M (0.13333333 0.86666667) *
##          23) symmetry_worst< -1.750623 41   4 M (0.09756098 0.90243902)  
##            46) smoothness_mean< -2.518446 2   0 B (1.00000000 0.00000000) *
##            47) smoothness_mean>=-2.518446 39   2 M (0.05128205 0.94871795)  
##              94) texture_mean< 2.808677 1   0 B (1.00000000 0.00000000) *
##              95) texture_mean>=2.808677 38   1 M (0.02631579 0.97368421) *
##     3) smoothness_worst>=-1.501069 425 181 M (0.42588235 0.57411765)  
##       6) compactness_se< -4.555012 23   0 B (1.00000000 0.00000000) *
##       7) compactness_se>=-4.555012 402 158 M (0.39303483 0.60696517)  
##        14) compactness_se>=-2.588521 16   1 B (0.93750000 0.06250000)  
##          28) texture_mean< 2.929061 15   0 B (1.00000000 0.00000000) *
##          29) texture_mean>=2.929061 1   0 M (0.00000000 1.00000000) *
##        15) compactness_se< -2.588521 386 143 M (0.37046632 0.62953368)  
##          30) texture_worst< 4.110502 33  10 B (0.69696970 0.30303030)  
##            60) texture_mean>=2.515298 24   3 B (0.87500000 0.12500000)  
##             120) compactness_se< -2.975291 21   0 B (1.00000000 0.00000000) *
##             121) compactness_se>=-2.975291 3   0 M (0.00000000 1.00000000) *
##            61) texture_mean< 2.515298 9   2 M (0.22222222 0.77777778)  
##             122) texture_worst< 3.759042 2   0 B (1.00000000 0.00000000) *
##             123) texture_worst>=3.759042 7   0 M (0.00000000 1.00000000) *
##          31) texture_worst>=4.110502 353 120 M (0.33994334 0.66005666)  
##            62) texture_worst>=4.528527 219  94 M (0.42922374 0.57077626)  
##             124) texture_worst< 4.858219 137  62 B (0.54744526 0.45255474) *
##             125) texture_worst>=4.858219 82  19 M (0.23170732 0.76829268) *
##            63) texture_worst< 4.528527 134  26 M (0.19402985 0.80597015)  
##             126) compactness_se< -4.223651 5   0 B (1.00000000 0.00000000) *
##             127) compactness_se>=-4.223651 129  21 M (0.16279070 0.83720930) *
## 
## $trees[[69]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 413 M (0.45285088 0.54714912)  
##     2) texture_worst< 4.507201 277 119 B (0.57039711 0.42960289)  
##       4) smoothness_worst>=-1.532607 166  57 B (0.65662651 0.34337349)  
##         8) compactness_se< -4.045669 26   0 B (1.00000000 0.00000000) *
##         9) compactness_se>=-4.045669 140  57 B (0.59285714 0.40714286)  
##          18) texture_mean>=2.870166 42   8 B (0.80952381 0.19047619)  
##            36) compactness_se< -3.095053 37   3 B (0.91891892 0.08108108)  
##              72) smoothness_mean>=-2.367524 36   2 B (0.94444444 0.05555556) *
##              73) smoothness_mean< -2.367524 1   0 M (0.00000000 1.00000000) *
##            37) compactness_se>=-3.095053 5   0 M (0.00000000 1.00000000) *
##          19) texture_mean< 2.870166 98  49 B (0.50000000 0.50000000)  
##            38) compactness_se>=-3.931945 89  40 B (0.55056180 0.44943820)  
##              76) texture_mean< 2.8622 82  33 B (0.59756098 0.40243902) *
##              77) texture_mean>=2.8622 7   0 M (0.00000000 1.00000000) *
##            39) compactness_se< -3.931945 9   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.532607 111  49 M (0.44144144 0.55855856)  
##        10) compactness_se>=-3.392487 23   3 B (0.86956522 0.13043478)  
##          20) texture_mean< 3.045208 20   0 B (1.00000000 0.00000000) *
##          21) texture_mean>=3.045208 3   0 M (0.00000000 1.00000000) *
##        11) compactness_se< -3.392487 88  29 M (0.32954545 0.67045455)  
##          22) smoothness_worst< -1.642968 6   0 B (1.00000000 0.00000000) *
##          23) smoothness_worst>=-1.642968 82  23 M (0.28048780 0.71951220)  
##            46) texture_worst>=4.467472 4   0 B (1.00000000 0.00000000) *
##            47) texture_worst< 4.467472 78  19 M (0.24358974 0.75641026)  
##              94) compactness_se>=-4.270956 41  16 M (0.39024390 0.60975610) *
##              95) compactness_se< -4.270956 37   3 M (0.08108108 0.91891892) *
##     3) texture_worst>=4.507201 635 255 M (0.40157480 0.59842520)  
##       6) texture_worst>=4.642157 396 195 M (0.49242424 0.50757576)  
##        12) compactness_se< -3.483184 276 119 B (0.56884058 0.43115942)  
##          24) compactness_se>=-3.494961 35   0 B (1.00000000 0.00000000) *
##          25) compactness_se< -3.494961 241 119 B (0.50622407 0.49377593)  
##            50) compactness_se< -3.81785 178  73 B (0.58988764 0.41011236)  
##             100) smoothness_mean>=-2.300091 45   6 B (0.86666667 0.13333333) *
##             101) smoothness_mean< -2.300091 133  66 M (0.49624060 0.50375940) *
##            51) compactness_se>=-3.81785 63  17 M (0.26984127 0.73015873)  
##             102) smoothness_mean< -2.36463 19   3 B (0.84210526 0.15789474) *
##             103) smoothness_mean>=-2.36463 44   1 M (0.02272727 0.97727273) *
##        13) compactness_se>=-3.483184 120  38 M (0.31666667 0.68333333)  
##          26) compactness_se>=-3.183454 57  26 B (0.54385965 0.45614035)  
##            52) compactness_se< -2.790746 41  10 B (0.75609756 0.24390244)  
##             104) smoothness_worst>=-1.521631 25   1 B (0.96000000 0.04000000) *
##             105) smoothness_worst< -1.521631 16   7 M (0.43750000 0.56250000) *
##            53) compactness_se>=-2.790746 16   0 M (0.00000000 1.00000000) *
##          27) compactness_se< -3.183454 63   7 M (0.11111111 0.88888889)  
##            54) symmetry_worst< -1.775603 13   6 B (0.53846154 0.46153846)  
##             108) compactness_se< -3.334337 7   0 B (1.00000000 0.00000000) *
##             109) compactness_se>=-3.334337 6   0 M (0.00000000 1.00000000) *
##            55) symmetry_worst>=-1.775603 50   0 M (0.00000000 1.00000000) *
##       7) texture_worst< 4.642157 239  60 M (0.25104603 0.74895397)  
##        14) symmetry_worst< -1.816281 87  40 M (0.45977011 0.54022989)  
##          28) texture_worst< 4.605004 52  15 B (0.71153846 0.28846154)  
##            56) texture_mean< 3.07751 42   6 B (0.85714286 0.14285714)  
##             112) compactness_se< -3.02233 36   0 B (1.00000000 0.00000000) *
##             113) compactness_se>=-3.02233 6   0 M (0.00000000 1.00000000) *
##            57) texture_mean>=3.07751 10   1 M (0.10000000 0.90000000)  
##             114) compactness_se< -3.855102 1   0 B (1.00000000 0.00000000) *
##             115) compactness_se>=-3.855102 9   0 M (0.00000000 1.00000000) *
##          29) texture_worst>=4.605004 35   3 M (0.08571429 0.91428571)  
##            58) compactness_se>=-3.425533 2   0 B (1.00000000 0.00000000) *
##            59) compactness_se< -3.425533 33   1 M (0.03030303 0.96969697)  
##             118) compactness_se< -4.815906 1   0 B (1.00000000 0.00000000) *
##             119) compactness_se>=-4.815906 32   0 M (0.00000000 1.00000000) *
##        15) symmetry_worst>=-1.816281 152  20 M (0.13157895 0.86842105)  
##          30) symmetry_worst>=-1.515658 14   6 B (0.57142857 0.42857143)  
##            60) compactness_se< -4.218076 8   0 B (1.00000000 0.00000000) *
##            61) compactness_se>=-4.218076 6   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst< -1.515658 138  12 M (0.08695652 0.91304348)  
##            62) symmetry_worst>=-1.749637 72  12 M (0.16666667 0.83333333)  
##             124) symmetry_worst< -1.721554 2   0 B (1.00000000 0.00000000) *
##             125) symmetry_worst>=-1.721554 70  10 M (0.14285714 0.85714286) *
##            63) symmetry_worst< -1.749637 66   0 M (0.00000000 1.00000000) *
## 
## $trees[[70]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 440 M (0.48245614 0.51754386)  
##     2) smoothness_mean< -2.216408 803 389 B (0.51556663 0.48443337)  
##       4) symmetry_worst< -2.01934 147  50 B (0.65986395 0.34013605)  
##         8) symmetry_worst>=-2.49184 132  39 B (0.70454545 0.29545455)  
##          16) smoothness_mean>=-2.35905 51   6 B (0.88235294 0.11764706)  
##            32) smoothness_mean< -2.279391 47   2 B (0.95744681 0.04255319)  
##              64) texture_worst< 4.893841 41   0 B (1.00000000 0.00000000) *
##              65) texture_worst>=4.893841 6   2 B (0.66666667 0.33333333) *
##            33) smoothness_mean>=-2.279391 4   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean< -2.35905 81  33 B (0.59259259 0.40740741)  
##            34) smoothness_worst< -1.604936 28   3 B (0.89285714 0.10714286)  
##              68) texture_worst>=4.498003 22   0 B (1.00000000 0.00000000) *
##              69) texture_worst< 4.498003 6   3 B (0.50000000 0.50000000) *
##            35) smoothness_worst>=-1.604936 53  23 M (0.43396226 0.56603774)  
##              70) compactness_se< -3.500483 38  15 B (0.60526316 0.39473684) *
##              71) compactness_se>=-3.500483 15   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst< -2.49184 15   4 M (0.26666667 0.73333333)  
##          18) texture_worst< 4.28477 4   0 B (1.00000000 0.00000000) *
##          19) texture_worst>=4.28477 11   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-2.01934 656 317 M (0.48323171 0.51676829)  
##        10) texture_mean< 3.033989 428 190 B (0.55607477 0.44392523)  
##          20) texture_worst>=4.629476 100  19 B (0.81000000 0.19000000)  
##            40) symmetry_worst< -1.353222 94  13 B (0.86170213 0.13829787)  
##              80) texture_worst< 4.858219 83   6 B (0.92771084 0.07228916) *
##              81) texture_worst>=4.858219 11   4 M (0.36363636 0.63636364) *
##            41) symmetry_worst>=-1.353222 6   0 M (0.00000000 1.00000000) *
##          21) texture_worst< 4.629476 328 157 M (0.47865854 0.52134146)  
##            42) smoothness_mean>=-2.231196 31   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean< -2.231196 297 126 M (0.42424242 0.57575758)  
##              86) texture_worst< 4.607573 265 126 M (0.47547170 0.52452830) *
##              87) texture_worst>=4.607573 32   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=3.033989 228  79 M (0.34649123 0.65350877)  
##          22) compactness_se< -3.824373 104  48 B (0.53846154 0.46153846)  
##            44) compactness_se>=-3.902076 22   0 B (1.00000000 0.00000000) *
##            45) compactness_se< -3.902076 82  34 M (0.41463415 0.58536585)  
##              90) compactness_se< -4.276957 38  10 B (0.73684211 0.26315789) *
##              91) compactness_se>=-4.276957 44   6 M (0.13636364 0.86363636) *
##          23) compactness_se>=-3.824373 124  23 M (0.18548387 0.81451613)  
##            46) smoothness_worst>=-1.513087 66  22 M (0.33333333 0.66666667)  
##              92) smoothness_mean< -2.323555 31  12 B (0.61290323 0.38709677) *
##              93) smoothness_mean>=-2.323555 35   3 M (0.08571429 0.91428571) *
##            47) smoothness_worst< -1.513087 58   1 M (0.01724138 0.98275862)  
##              94) smoothness_worst< -1.610115 4   1 M (0.25000000 0.75000000) *
##              95) smoothness_worst>=-1.610115 54   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.216408 109  26 M (0.23853211 0.76146789)  
##       6) symmetry_worst< -1.766269 23   9 B (0.60869565 0.39130435)  
##        12) symmetry_worst>=-1.891461 11   0 B (1.00000000 0.00000000) *
##        13) symmetry_worst< -1.891461 12   3 M (0.25000000 0.75000000)  
##          26) texture_mean< 2.909334 3   0 B (1.00000000 0.00000000) *
##          27) texture_mean>=2.909334 9   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.766269 86  12 M (0.13953488 0.86046512)  
##        14) smoothness_mean>=-1.889548 5   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean< -1.889548 81   7 M (0.08641975 0.91358025)  
##          30) texture_mean>=3.039982 7   3 B (0.57142857 0.42857143)  
##            60) texture_mean< 3.045947 4   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=3.045947 3   0 M (0.00000000 1.00000000) *
##          31) texture_mean< 3.039982 74   3 M (0.04054054 0.95945946)  
##            62) compactness_se< -4.341409 1   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.341409 73   2 M (0.02739726 0.97260274)  
##             126) smoothness_worst< -1.534923 1   0 B (1.00000000 0.00000000) *
##             127) smoothness_worst>=-1.534923 72   1 M (0.01388889 0.98611111) *
## 
## $trees[[71]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 431 B (0.52741228 0.47258772)  
##     2) texture_mean< 3.243166 863 389 B (0.54924681 0.45075319)  
##       4) smoothness_mean< -2.21595 767 320 B (0.58279009 0.41720991)  
##         8) texture_mean>=3.227241 31   0 B (1.00000000 0.00000000) *
##         9) texture_mean< 3.227241 736 320 B (0.56521739 0.43478261)  
##          18) texture_mean< 2.976294 414 144 B (0.65217391 0.34782609)  
##            36) symmetry_worst>=-1.990832 353 110 B (0.68838527 0.31161473)  
##              72) symmetry_worst< -1.93369 28   0 B (1.00000000 0.00000000) *
##              73) symmetry_worst>=-1.93369 325 110 B (0.66153846 0.33846154) *
##            37) symmetry_worst< -1.990832 61  27 M (0.44262295 0.55737705)  
##              74) texture_worst< 4.348203 20   4 B (0.80000000 0.20000000) *
##              75) texture_worst>=4.348203 41  11 M (0.26829268 0.73170732) *
##          19) texture_mean>=2.976294 322 146 M (0.45341615 0.54658385)  
##            38) texture_mean>=2.987952 303 146 M (0.48184818 0.51815182)  
##              76) texture_worst< 4.46124 11   0 B (1.00000000 0.00000000) *
##              77) texture_worst>=4.46124 292 135 M (0.46232877 0.53767123) *
##            39) texture_mean< 2.987952 19   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean>=-2.21595 96  27 M (0.28125000 0.71875000)  
##        10) smoothness_worst>=-1.427418 42  20 B (0.52380952 0.47619048)  
##          20) symmetry_worst< -1.609472 19   1 B (0.94736842 0.05263158)  
##            40) texture_mean< 3.052311 18   0 B (1.00000000 0.00000000) *
##            41) texture_mean>=3.052311 1   0 M (0.00000000 1.00000000) *
##          21) symmetry_worst>=-1.609472 23   4 M (0.17391304 0.82608696)  
##            42) texture_worst< 4.269167 6   2 B (0.66666667 0.33333333)  
##              84) compactness_se< -3.446692 4   0 B (1.00000000 0.00000000) *
##              85) compactness_se>=-3.446692 2   0 M (0.00000000 1.00000000) *
##            43) texture_worst>=4.269167 17   0 M (0.00000000 1.00000000) *
##        11) smoothness_worst< -1.427418 54   5 M (0.09259259 0.90740741)  
##          22) symmetry_worst< -1.832745 8   4 B (0.50000000 0.50000000)  
##            44) smoothness_worst>=-1.56036 5   1 B (0.80000000 0.20000000)  
##              88) texture_mean< 3.018626 4   0 B (1.00000000 0.00000000) *
##              89) texture_mean>=3.018626 1   0 M (0.00000000 1.00000000) *
##            45) smoothness_worst< -1.56036 3   0 M (0.00000000 1.00000000) *
##          23) symmetry_worst>=-1.832745 46   1 M (0.02173913 0.97826087)  
##            46) smoothness_worst< -1.534923 1   0 B (1.00000000 0.00000000) *
##            47) smoothness_worst>=-1.534923 45   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=3.243166 49   7 M (0.14285714 0.85714286)  
##       6) smoothness_mean< -2.489159 3   0 B (1.00000000 0.00000000) *
##       7) smoothness_mean>=-2.489159 46   4 M (0.08695652 0.91304348)  
##        14) texture_worst< 5.073596 4   2 B (0.50000000 0.50000000)  
##          28) texture_mean>=3.285283 2   0 B (1.00000000 0.00000000) *
##          29) texture_mean< 3.285283 2   0 M (0.00000000 1.00000000) *
##        15) texture_worst>=5.073596 42   2 M (0.04761905 0.95238095)  
##          30) texture_worst>=5.329405 19   2 M (0.10526316 0.89473684)  
##            60) texture_worst< 5.353194 1   0 B (1.00000000 0.00000000) *
##            61) texture_worst>=5.353194 18   1 M (0.05555556 0.94444444)  
##             122) compactness_se< -3.721197 3   1 M (0.33333333 0.66666667) *
##             123) compactness_se>=-3.721197 15   0 M (0.00000000 1.00000000) *
##          31) texture_worst< 5.329405 23   0 M (0.00000000 1.00000000) *
## 
## $trees[[72]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 402 B (0.55921053 0.44078947)  
##     2) smoothness_mean< -2.21595 822 332 B (0.59610706 0.40389294)  
##       4) texture_mean>=3.212655 90  14 B (0.84444444 0.15555556)  
##         8) texture_mean< 3.253357 57   2 B (0.96491228 0.03508772)  
##          16) texture_worst>=4.714391 56   1 B (0.98214286 0.01785714)  
##            32) smoothness_worst>=-1.528864 45   0 B (1.00000000 0.00000000) *
##            33) smoothness_worst< -1.528864 11   1 B (0.90909091 0.09090909)  
##              66) texture_mean>=3.223863 10   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 3.223863 1   0 M (0.00000000 1.00000000) *
##          17) texture_worst< 4.714391 1   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=3.253357 33  12 B (0.63636364 0.36363636)  
##          18) smoothness_worst< -1.482502 28   7 B (0.75000000 0.25000000)  
##            36) texture_mean>=3.295449 25   4 B (0.84000000 0.16000000)  
##              72) compactness_se>=-3.859901 17   0 B (1.00000000 0.00000000) *
##              73) compactness_se< -3.859901 8   4 B (0.50000000 0.50000000) *
##            37) texture_mean< 3.295449 3   0 M (0.00000000 1.00000000) *
##          19) smoothness_worst>=-1.482502 5   0 M (0.00000000 1.00000000) *
##       5) texture_mean< 3.212655 732 318 B (0.56557377 0.43442623)  
##        10) smoothness_mean>=-2.235394 41   3 B (0.92682927 0.07317073)  
##          20) texture_mean< 3.035465 38   0 B (1.00000000 0.00000000) *
##          21) texture_mean>=3.035465 3   0 M (0.00000000 1.00000000) *
##        11) smoothness_mean< -2.235394 691 315 B (0.54413893 0.45586107)  
##          22) symmetry_worst< -1.64088 458 181 B (0.60480349 0.39519651)  
##            44) smoothness_worst>=-1.480531 94  12 B (0.87234043 0.12765957)  
##              88) smoothness_worst< -1.415395 84   4 B (0.95238095 0.04761905) *
##              89) smoothness_worst>=-1.415395 10   2 M (0.20000000 0.80000000) *
##            45) smoothness_worst< -1.480531 364 169 B (0.53571429 0.46428571)  
##              90) smoothness_worst< -1.502284 310 120 B (0.61290323 0.38709677) *
##              91) smoothness_worst>=-1.502284 54   5 M (0.09259259 0.90740741) *
##          23) symmetry_worst>=-1.64088 233  99 M (0.42489270 0.57510730)  
##            46) texture_mean< 2.918041 80  29 B (0.63750000 0.36250000)  
##              92) symmetry_worst>=-1.63847 65  14 B (0.78461538 0.21538462) *
##              93) symmetry_worst< -1.63847 15   0 M (0.00000000 1.00000000) *
##            47) texture_mean>=2.918041 153  48 M (0.31372549 0.68627451)  
##              94) compactness_se>=-3.502612 68  33 M (0.48529412 0.51470588) *
##              95) compactness_se< -3.502612 85  15 M (0.17647059 0.82352941) *
##     3) smoothness_mean>=-2.21595 90  20 M (0.22222222 0.77777778)  
##       6) symmetry_worst< -1.766269 21   8 B (0.61904762 0.38095238)  
##        12) texture_mean< 3.018626 10   0 B (1.00000000 0.00000000) *
##        13) texture_mean>=3.018626 11   3 M (0.27272727 0.72727273)  
##          26) smoothness_worst>=-1.445744 3   0 B (1.00000000 0.00000000) *
##          27) smoothness_worst< -1.445744 8   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.766269 69   7 M (0.10144928 0.89855072)  
##        14) smoothness_mean>=-1.879984 2   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean< -1.879984 67   5 M (0.07462687 0.92537313)  
##          30) smoothness_worst< -1.534923 1   0 B (1.00000000 0.00000000) *
##          31) smoothness_worst>=-1.534923 66   4 M (0.06060606 0.93939394)  
##            62) smoothness_worst>=-1.369782 12   3 M (0.25000000 0.75000000)  
##             124) texture_worst< 4.189732 3   0 B (1.00000000 0.00000000) *
##             125) texture_worst>=4.189732 9   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst< -1.369782 54   1 M (0.01851852 0.98148148)  
##             126) texture_mean>=3.039982 7   1 M (0.14285714 0.85714286) *
##             127) texture_mean< 3.039982 47   0 M (0.00000000 1.00000000) *
## 
## $trees[[73]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 447 B (0.50986842 0.49013158)  
##     2) symmetry_worst>=-1.557842 206  75 B (0.63592233 0.36407767)  
##       4) symmetry_worst< -1.012175 195  64 B (0.67179487 0.32820513)  
##         8) smoothness_worst>=-1.634758 188  57 B (0.69680851 0.30319149)  
##          16) smoothness_mean>=-2.379583 145  33 B (0.77241379 0.22758621)  
##            32) smoothness_mean< -2.281815 90   7 B (0.92222222 0.07777778)  
##              64) smoothness_worst< -1.426496 78   3 B (0.96153846 0.03846154) *
##              65) smoothness_worst>=-1.426496 12   4 B (0.66666667 0.33333333) *
##            33) smoothness_mean>=-2.281815 55  26 B (0.52727273 0.47272727)  
##              66) smoothness_mean>=-2.239141 42  13 B (0.69047619 0.30952381) *
##              67) smoothness_mean< -2.239141 13   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean< -2.379583 43  19 M (0.44186047 0.55813953)  
##            34) compactness_se>=-3.935452 16   2 B (0.87500000 0.12500000)  
##              68) smoothness_mean< -2.402362 15   1 B (0.93333333 0.06666667) *
##              69) smoothness_mean>=-2.402362 1   0 M (0.00000000 1.00000000) *
##            35) compactness_se< -3.935452 27   5 M (0.18518519 0.81481481)  
##              70) smoothness_worst< -1.556321 10   5 B (0.50000000 0.50000000) *
##              71) smoothness_worst>=-1.556321 17   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst< -1.634758 7   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.012175 11   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst< -1.557842 706 334 M (0.47308782 0.52691218)  
##       6) smoothness_mean< -2.424301 170  65 B (0.61764706 0.38235294)  
##        12) smoothness_mean>=-2.439212 24   0 B (1.00000000 0.00000000) *
##        13) smoothness_mean< -2.439212 146  65 B (0.55479452 0.44520548)  
##          26) symmetry_worst>=-1.642754 13   0 B (1.00000000 0.00000000) *
##          27) symmetry_worst< -1.642754 133  65 B (0.51127820 0.48872180)  
##            54) compactness_se>=-2.870592 12   0 B (1.00000000 0.00000000) *
##            55) compactness_se< -2.870592 121  56 M (0.46280992 0.53719008)  
##             110) texture_mean< 2.76789 11   0 B (1.00000000 0.00000000) *
##             111) texture_mean>=2.76789 110  45 M (0.40909091 0.59090909) *
##       7) smoothness_mean>=-2.424301 536 229 M (0.42723881 0.57276119)  
##        14) compactness_se< -4.605333 14   0 B (1.00000000 0.00000000) *
##        15) compactness_se>=-4.605333 522 215 M (0.41187739 0.58812261)  
##          30) texture_mean< 2.705026 10   0 B (1.00000000 0.00000000) *
##          31) texture_mean>=2.705026 512 205 M (0.40039062 0.59960938)  
##            62) texture_mean>=2.771267 455 198 M (0.43516484 0.56483516)  
##             124) texture_worst< 4.26783 25   1 B (0.96000000 0.04000000) *
##             125) texture_worst>=4.26783 430 174 M (0.40465116 0.59534884) *
##            63) texture_mean< 2.771267 57   7 M (0.12280702 0.87719298)  
##             126) compactness_se< -4.032921 5   0 B (1.00000000 0.00000000) *
##             127) compactness_se>=-4.032921 52   2 M (0.03846154 0.96153846) *
## 
## $trees[[74]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 418 B (0.54166667 0.45833333)  
##     2) compactness_se< -4.706178 24   1 B (0.95833333 0.04166667)  
##       4) smoothness_worst>=-1.619004 23   0 B (1.00000000 0.00000000) *
##       5) smoothness_worst< -1.619004 1   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-4.706178 888 417 B (0.53040541 0.46959459)  
##       6) compactness_se>=-4.676088 866 398 B (0.54041570 0.45958430)  
##        12) compactness_se< -4.505325 41   5 B (0.87804878 0.12195122)  
##          24) symmetry_worst>=-2.374205 36   0 B (1.00000000 0.00000000) *
##          25) symmetry_worst< -2.374205 5   0 M (0.00000000 1.00000000) *
##        13) compactness_se>=-4.505325 825 393 B (0.52363636 0.47636364)  
##          26) texture_worst< 5.089316 763 347 B (0.54521625 0.45478375)  
##            52) texture_worst>=4.753106 197  62 B (0.68527919 0.31472081)  
##             104) compactness_se< -3.881758 88  14 B (0.84090909 0.15909091) *
##             105) compactness_se>=-3.881758 109  48 B (0.55963303 0.44036697) *
##            53) texture_worst< 4.753106 566 281 M (0.49646643 0.50353357)  
##             106) symmetry_worst< -1.815934 216  80 B (0.62962963 0.37037037) *
##             107) symmetry_worst>=-1.815934 350 145 M (0.41428571 0.58571429) *
##          27) texture_worst>=5.089316 62  16 M (0.25806452 0.74193548)  
##            54) smoothness_mean< -2.489159 4   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean>=-2.489159 58  12 M (0.20689655 0.79310345)  
##             110) texture_worst>=5.296558 29  12 M (0.41379310 0.58620690) *
##             111) texture_worst< 5.296558 29   0 M (0.00000000 1.00000000) *
##       7) compactness_se< -4.676088 22   3 M (0.13636364 0.86363636)  
##        14) smoothness_mean>=-2.443464 2   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean< -2.443464 20   1 M (0.05000000 0.95000000)  
##          30) texture_worst< 4.52395 1   0 B (1.00000000 0.00000000) *
##          31) texture_worst>=4.52395 19   0 M (0.00000000 1.00000000) *
## 
## $trees[[75]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 411 B (0.54934211 0.45065789)  
##     2) smoothness_mean< -2.216408 837 356 B (0.57467145 0.42532855)  
##       4) texture_mean>=2.841409 702 273 B (0.61111111 0.38888889)  
##         8) texture_mean< 3.058002 419 131 B (0.68735084 0.31264916)  
##          16) symmetry_worst< -1.45531 388 110 B (0.71649485 0.28350515)  
##            32) smoothness_mean>=-2.453816 326  77 B (0.76380368 0.23619632)  
##              64) symmetry_worst>=-1.990832 276  53 B (0.80797101 0.19202899) *
##              65) symmetry_worst< -1.990832 50  24 B (0.52000000 0.48000000) *
##            33) smoothness_mean< -2.453816 62  29 M (0.46774194 0.53225806)  
##              66) smoothness_worst>=-1.54984 11   0 B (1.00000000 0.00000000) *
##              67) smoothness_worst< -1.54984 51  18 M (0.35294118 0.64705882) *
##          17) symmetry_worst>=-1.45531 31  10 M (0.32258065 0.67741935)  
##            34) smoothness_mean< -2.338805 7   0 B (1.00000000 0.00000000) *
##            35) smoothness_mean>=-2.338805 24   3 M (0.12500000 0.87500000)  
##              70) smoothness_mean>=-2.244807 3   0 B (1.00000000 0.00000000) *
##              71) smoothness_mean< -2.244807 21   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=3.058002 283 141 M (0.49823322 0.50176678)  
##          18) compactness_se< -3.477558 207  83 B (0.59903382 0.40096618)  
##            36) smoothness_worst< -1.436494 186  62 B (0.66666667 0.33333333)  
##              72) smoothness_mean>=-2.301736 40   2 B (0.95000000 0.05000000) *
##              73) smoothness_mean< -2.301736 146  60 B (0.58904110 0.41095890) *
##            37) smoothness_worst>=-1.436494 21   0 M (0.00000000 1.00000000) *
##          19) compactness_se>=-3.477558 76  17 M (0.22368421 0.77631579)  
##            38) smoothness_mean< -2.412109 36  16 M (0.44444444 0.55555556)  
##              76) compactness_se>=-3.116272 22   6 B (0.72727273 0.27272727) *
##              77) compactness_se< -3.116272 14   0 M (0.00000000 1.00000000) *
##            39) smoothness_mean>=-2.412109 40   1 M (0.02500000 0.97500000)  
##              78) compactness_se< -3.449233 1   0 B (1.00000000 0.00000000) *
##              79) compactness_se>=-3.449233 39   0 M (0.00000000 1.00000000) *
##       5) texture_mean< 2.841409 135  52 M (0.38518519 0.61481481)  
##        10) smoothness_mean< -2.443746 14   0 B (1.00000000 0.00000000) *
##        11) smoothness_mean>=-2.443746 121  38 M (0.31404959 0.68595041)  
##          22) smoothness_mean>=-2.396281 94  38 M (0.40425532 0.59574468)  
##            44) symmetry_worst< -1.93369 11   0 B (1.00000000 0.00000000) *
##            45) symmetry_worst>=-1.93369 83  27 M (0.32530120 0.67469880)  
##              90) smoothness_worst< -1.482701 32  13 B (0.59375000 0.40625000) *
##              91) smoothness_worst>=-1.482701 51   8 M (0.15686275 0.84313725) *
##          23) smoothness_mean< -2.396281 27   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.216408 75  20 M (0.26666667 0.73333333)  
##       6) smoothness_worst>=-1.409741 25  11 B (0.56000000 0.44000000)  
##        12) symmetry_worst< -1.627774 11   1 B (0.90909091 0.09090909)  
##          24) compactness_se>=-3.924204 10   0 B (1.00000000 0.00000000) *
##          25) compactness_se< -3.924204 1   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-1.627774 14   4 M (0.28571429 0.71428571)  
##          26) compactness_se< -3.969137 4   0 B (1.00000000 0.00000000) *
##          27) compactness_se>=-3.969137 10   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst< -1.409741 50   6 M (0.12000000 0.88000000)  
##        14) compactness_se< -4.341409 2   0 B (1.00000000 0.00000000) *
##        15) compactness_se>=-4.341409 48   4 M (0.08333333 0.91666667)  
##          30) texture_mean< 2.909334 19   4 M (0.21052632 0.78947368)  
##            60) smoothness_worst< -1.449106 6   2 B (0.66666667 0.33333333)  
##             120) symmetry_worst< -1.492925 4   0 B (1.00000000 0.00000000) *
##             121) symmetry_worst>=-1.492925 2   0 M (0.00000000 1.00000000) *
##            61) smoothness_worst>=-1.449106 13   0 M (0.00000000 1.00000000) *
##          31) texture_mean>=2.909334 29   0 M (0.00000000 1.00000000) *
## 
## $trees[[76]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 440 M (0.48245614 0.51754386)  
##     2) smoothness_worst< -1.604472 104  35 B (0.66346154 0.33653846)  
##       4) texture_worst>=4.576562 63   9 B (0.85714286 0.14285714)  
##         8) symmetry_worst< -1.550826 55   4 B (0.92727273 0.07272727)  
##          16) compactness_se>=-4.477251 40   0 B (1.00000000 0.00000000) *
##          17) compactness_se< -4.477251 15   4 B (0.73333333 0.26666667)  
##            34) symmetry_worst< -1.874628 10   0 B (1.00000000 0.00000000) *
##            35) symmetry_worst>=-1.874628 5   1 M (0.20000000 0.80000000)  
##              70) texture_mean>=3.296262 1   0 B (1.00000000 0.00000000) *
##              71) texture_mean< 3.296262 4   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst>=-1.550826 8   3 M (0.37500000 0.62500000)  
##          18) texture_mean< 2.967432 3   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.967432 5   0 M (0.00000000 1.00000000) *
##       5) texture_worst< 4.576562 41  15 M (0.36585366 0.63414634)  
##        10) texture_worst< 4.48644 12   0 B (1.00000000 0.00000000) *
##        11) texture_worst>=4.48644 29   3 M (0.10344828 0.89655172)  
##          22) texture_mean< 2.935975 2   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.935975 27   1 M (0.03703704 0.96296296)  
##            46) texture_mean>=3.086027 3   1 M (0.33333333 0.66666667)  
##              92) texture_mean< 3.157578 1   0 B (1.00000000 0.00000000) *
##              93) texture_mean>=3.157578 2   0 M (0.00000000 1.00000000) *
##            47) texture_mean< 3.086027 24   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.604472 808 371 M (0.45915842 0.54084158)  
##       6) compactness_se< -4.691273 18   0 B (1.00000000 0.00000000) *
##       7) compactness_se>=-4.691273 790 353 M (0.44683544 0.55316456)  
##        14) smoothness_mean>=-2.354774 459 222 B (0.51633987 0.48366013)  
##          28) smoothness_worst>=-1.563512 438 201 B (0.54109589 0.45890411)  
##            56) compactness_se< -4.025757 80  13 B (0.83750000 0.16250000)  
##             112) symmetry_worst< -1.782735 32   0 B (1.00000000 0.00000000) *
##             113) symmetry_worst>=-1.782735 48  13 B (0.72916667 0.27083333) *
##            57) compactness_se>=-4.025757 358 170 M (0.47486034 0.52513966)  
##             114) texture_worst< 4.896309 311 146 B (0.53054662 0.46945338) *
##             115) texture_worst>=4.896309 47   5 M (0.10638298 0.89361702) *
##          29) smoothness_worst< -1.563512 21   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean< -2.354774 331 116 M (0.35045317 0.64954683)  
##          30) smoothness_mean< -2.362071 291 116 M (0.39862543 0.60137457)  
##            60) compactness_se>=-3.941776 149  66 B (0.55704698 0.44295302)  
##             120) texture_mean< 2.956199 54  10 B (0.81481481 0.18518519) *
##             121) texture_mean>=2.956199 95  39 M (0.41052632 0.58947368) *
##            61) compactness_se< -3.941776 142  33 M (0.23239437 0.76760563)  
##             122) texture_mean< 2.790579 5   0 B (1.00000000 0.00000000) *
##             123) texture_mean>=2.790579 137  28 M (0.20437956 0.79562044) *
##          31) smoothness_mean>=-2.362071 40   0 M (0.00000000 1.00000000) *
## 
## $trees[[77]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 443 M (0.48574561 0.51425439)  
##     2) smoothness_mean< -2.335108 472 208 B (0.55932203 0.44067797)  
##       4) smoothness_mean>=-2.354774 61   5 B (0.91803279 0.08196721)  
##         8) smoothness_worst< -1.435092 56   0 B (1.00000000 0.00000000) *
##         9) smoothness_worst>=-1.435092 5   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean< -2.354774 411 203 B (0.50608273 0.49391727)  
##        10) smoothness_mean< -2.361009 379 172 B (0.54617414 0.45382586)  
##          20) compactness_se>=-3.599588 105  32 B (0.69523810 0.30476190)  
##            40) smoothness_worst>=-1.513087 40   2 B (0.95000000 0.05000000)  
##              80) symmetry_worst< -1.365989 38   0 B (1.00000000 0.00000000) *
##              81) symmetry_worst>=-1.365989 2   0 M (0.00000000 1.00000000) *
##            41) smoothness_worst< -1.513087 65  30 B (0.53846154 0.46153846)  
##              82) compactness_se< -3.500148 15   0 B (1.00000000 0.00000000) *
##              83) compactness_se>=-3.500148 50  20 M (0.40000000 0.60000000) *
##          21) compactness_se< -3.599588 274 134 M (0.48905109 0.51094891)  
##            42) compactness_se< -3.716882 237 109 B (0.54008439 0.45991561)  
##              84) compactness_se>=-3.941776 43   4 B (0.90697674 0.09302326) *
##              85) compactness_se< -3.941776 194  89 M (0.45876289 0.54123711) *
##            43) compactness_se>=-3.716882 37   6 M (0.16216216 0.83783784)  
##              86) symmetry_worst< -1.857709 6   1 B (0.83333333 0.16666667) *
##              87) symmetry_worst>=-1.857709 31   1 M (0.03225806 0.96774194) *
##        11) smoothness_mean>=-2.361009 32   1 M (0.03125000 0.96875000)  
##          22) compactness_se>=-3.061101 1   0 B (1.00000000 0.00000000) *
##          23) compactness_se< -3.061101 31   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.335108 440 179 M (0.40681818 0.59318182)  
##       6) smoothness_mean>=-2.328057 391 175 M (0.44757033 0.55242967)  
##        12) compactness_se< -4.02632 75  21 B (0.72000000 0.28000000)  
##          24) smoothness_mean>=-2.291157 50   3 B (0.94000000 0.06000000)  
##            48) texture_worst< 5.105262 49   2 B (0.95918367 0.04081633)  
##              96) compactness_se>=-4.183218 41   0 B (1.00000000 0.00000000) *
##              97) compactness_se< -4.183218 8   2 B (0.75000000 0.25000000) *
##            49) texture_worst>=5.105262 1   0 M (0.00000000 1.00000000) *
##          25) smoothness_mean< -2.291157 25   7 M (0.28000000 0.72000000)  
##            50) compactness_se>=-4.101376 6   0 B (1.00000000 0.00000000) *
##            51) compactness_se< -4.101376 19   1 M (0.05263158 0.94736842)  
##             102) texture_worst>=4.58977 4   1 M (0.25000000 0.75000000) *
##             103) texture_worst< 4.58977 15   0 M (0.00000000 1.00000000) *
##        13) compactness_se>=-4.02632 316 121 M (0.38291139 0.61708861)  
##          26) smoothness_mean< -2.2971 109  46 B (0.57798165 0.42201835)  
##            52) texture_worst< 4.693641 65  14 B (0.78461538 0.21538462)  
##             104) texture_mean>=2.717337 52   1 B (0.98076923 0.01923077) *
##             105) texture_mean< 2.717337 13   0 M (0.00000000 1.00000000) *
##            53) texture_worst>=4.693641 44  12 M (0.27272727 0.72727273)  
##             106) smoothness_worst< -1.50249 15   3 B (0.80000000 0.20000000) *
##             107) smoothness_worst>=-1.50249 29   0 M (0.00000000 1.00000000) *
##          27) smoothness_mean>=-2.2971 207  58 M (0.28019324 0.71980676)  
##            54) compactness_se>=-2.455682 7   0 B (1.00000000 0.00000000) *
##            55) compactness_se< -2.455682 200  51 M (0.25500000 0.74500000)  
##             110) smoothness_mean>=-2.274485 158  49 M (0.31012658 0.68987342) *
##             111) smoothness_mean< -2.274485 42   2 M (0.04761905 0.95238095) *
##       7) smoothness_mean< -2.328057 49   4 M (0.08163265 0.91836735)  
##        14) texture_mean< 2.876638 3   0 B (1.00000000 0.00000000) *
##        15) texture_mean>=2.876638 46   1 M (0.02173913 0.97826087)  
##          30) texture_worst< 4.437118 1   0 B (1.00000000 0.00000000) *
##          31) texture_worst>=4.437118 45   0 M (0.00000000 1.00000000) *
## 
## $trees[[78]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 413 B (0.54714912 0.45285088)  
##     2) smoothness_mean< -2.424301 273  72 B (0.73626374 0.26373626)  
##       4) texture_mean< 3.070839 156  22 B (0.85897436 0.14102564)  
##         8) texture_worst>=3.959578 150  17 B (0.88666667 0.11333333)  
##          16) symmetry_worst< -1.624417 119   8 B (0.93277311 0.06722689)  
##            32) smoothness_mean>=-2.467991 55   0 B (1.00000000 0.00000000) *
##            33) smoothness_mean< -2.467991 64   8 B (0.87500000 0.12500000)  
##              66) smoothness_mean< -2.468758 62   6 B (0.90322581 0.09677419) *
##              67) smoothness_mean>=-2.468758 2   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst>=-1.624417 31   9 B (0.70967742 0.29032258)  
##            34) texture_mean< 2.904559 18   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.904559 13   4 M (0.30769231 0.69230769)  
##              70) smoothness_mean>=-2.447579 5   1 B (0.80000000 0.20000000) *
##              71) smoothness_mean< -2.447579 8   0 M (0.00000000 1.00000000) *
##         9) texture_worst< 3.959578 6   1 M (0.16666667 0.83333333)  
##          18) texture_mean< 2.707858 1   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.707858 5   0 M (0.00000000 1.00000000) *
##       5) texture_mean>=3.070839 117  50 B (0.57264957 0.42735043)  
##        10) symmetry_worst< -1.541072 103  36 B (0.65048544 0.34951456)  
##          20) smoothness_mean>=-2.439903 21   0 B (1.00000000 0.00000000) *
##          21) smoothness_mean< -2.439903 82  36 B (0.56097561 0.43902439)  
##            42) smoothness_worst< -1.532695 67  21 B (0.68656716 0.31343284)  
##              84) texture_mean>=3.089887 55  12 B (0.78181818 0.21818182) *
##              85) texture_mean< 3.089887 12   3 M (0.25000000 0.75000000) *
##            43) smoothness_worst>=-1.532695 15   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.541072 14   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.424301 639 298 M (0.46635368 0.53364632)  
##       6) symmetry_worst>=-1.9261 478 230 B (0.51882845 0.48117155)  
##        12) symmetry_worst< -1.857225 36   3 B (0.91666667 0.08333333)  
##          24) texture_worst< 4.983098 35   2 B (0.94285714 0.05714286)  
##            48) smoothness_mean>=-2.390216 31   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean< -2.390216 4   2 B (0.50000000 0.50000000)  
##              98) texture_mean< 3.043832 2   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=3.043832 2   0 M (0.00000000 1.00000000) *
##          25) texture_worst>=4.983098 1   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-1.857225 442 215 M (0.48642534 0.51357466)  
##          26) compactness_se< -4.480629 20   0 B (1.00000000 0.00000000) *
##          27) compactness_se>=-4.480629 422 195 M (0.46208531 0.53791469)  
##            54) texture_worst< 4.514456 161  68 B (0.57763975 0.42236025)  
##             108) texture_worst>=4.368168 60  13 B (0.78333333 0.21666667) *
##             109) texture_worst< 4.368168 101  46 M (0.45544554 0.54455446) *
##            55) texture_worst>=4.514456 261 102 M (0.39080460 0.60919540)  
##             110) texture_worst>=4.555292 228 102 M (0.44736842 0.55263158) *
##             111) texture_worst< 4.555292 33   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst< -1.9261 161  50 M (0.31055901 0.68944099)  
##        14) symmetry_worst< -1.964096 104  46 M (0.44230769 0.55769231)  
##          28) symmetry_worst>=-1.98727 15   0 B (1.00000000 0.00000000) *
##          29) symmetry_worst< -1.98727 89  31 M (0.34831461 0.65168539)  
##            58) symmetry_worst< -2.207519 22   7 B (0.68181818 0.31818182)  
##             116) symmetry_worst>=-2.379234 14   0 B (1.00000000 0.00000000) *
##             117) symmetry_worst< -2.379234 8   1 M (0.12500000 0.87500000) *
##            59) symmetry_worst>=-2.207519 67  16 M (0.23880597 0.76119403)  
##             118) texture_worst< 4.614874 15   5 B (0.66666667 0.33333333) *
##             119) texture_worst>=4.614874 52   6 M (0.11538462 0.88461538) *
##        15) symmetry_worst>=-1.964096 57   4 M (0.07017544 0.92982456)  
##          30) compactness_se>=-3.593781 4   1 B (0.75000000 0.25000000)  
##            60) texture_mean< 3.008509 3   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=3.008509 1   0 M (0.00000000 1.00000000) *
##          31) compactness_se< -3.593781 53   1 M (0.01886792 0.98113208)  
##            62) smoothness_mean>=-2.225218 1   0 B (1.00000000 0.00000000) *
##            63) smoothness_mean< -2.225218 52   0 M (0.00000000 1.00000000) *
## 
## $trees[[79]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 402 B (0.55921053 0.44078947)  
##     2) compactness_se< -4.706178 34   1 B (0.97058824 0.02941176)  
##       4) symmetry_worst< -1.284644 33   0 B (1.00000000 0.00000000) *
##       5) symmetry_worst>=-1.284644 1   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-4.706178 878 401 B (0.54328018 0.45671982)  
##       6) compactness_se>=-4.668035 859 384 B (0.55296857 0.44703143)  
##        12) symmetry_worst>=-1.9261 660 271 B (0.58939394 0.41060606)  
##          24) smoothness_mean< -2.333148 295  94 B (0.68135593 0.31864407)  
##            48) smoothness_mean>=-2.354616 44   3 B (0.93181818 0.06818182)  
##              96) smoothness_worst< -1.435092 41   0 B (1.00000000 0.00000000) *
##              97) smoothness_worst>=-1.435092 3   0 M (0.00000000 1.00000000) *
##            49) smoothness_mean< -2.354616 251  91 B (0.63745020 0.36254980)  
##              98) smoothness_mean< -2.360798 235  76 B (0.67659574 0.32340426) *
##              99) smoothness_mean>=-2.360798 16   1 M (0.06250000 0.93750000) *
##          25) smoothness_mean>=-2.333148 365 177 B (0.51506849 0.48493151)  
##            50) compactness_se< -3.294139 297 129 B (0.56565657 0.43434343)  
##             100) compactness_se>=-3.494301 66  12 B (0.81818182 0.18181818) *
##             101) compactness_se< -3.494301 231 114 M (0.49350649 0.50649351) *
##            51) compactness_se>=-3.294139 68  20 M (0.29411765 0.70588235)  
##             102) smoothness_mean>=-2.239141 32  13 B (0.59375000 0.40625000) *
##             103) smoothness_mean< -2.239141 36   1 M (0.02777778 0.97222222) *
##        13) symmetry_worst< -1.9261 199  86 M (0.43216080 0.56783920)  
##          26) texture_worst>=4.646117 81  32 B (0.60493827 0.39506173)  
##            52) smoothness_worst< -1.560235 36   3 B (0.91666667 0.08333333)  
##             104) compactness_se< -2.810352 34   1 B (0.97058824 0.02941176) *
##             105) compactness_se>=-2.810352 2   0 M (0.00000000 1.00000000) *
##            53) smoothness_worst>=-1.560235 45  16 M (0.35555556 0.64444444)  
##             106) compactness_se>=-3.747654 18   4 B (0.77777778 0.22222222) *
##             107) compactness_se< -3.747654 27   2 M (0.07407407 0.92592593) *
##          27) texture_worst< 4.646117 118  37 M (0.31355932 0.68644068)  
##            54) texture_mean< 2.758426 9   0 B (1.00000000 0.00000000) *
##            55) texture_mean>=2.758426 109  28 M (0.25688073 0.74311927)  
##             110) smoothness_mean>=-2.289177 7   0 B (1.00000000 0.00000000) *
##             111) smoothness_mean< -2.289177 102  21 M (0.20588235 0.79411765) *
##       7) compactness_se< -4.668035 19   2 M (0.10526316 0.89473684)  
##        14) smoothness_mean>=-2.443464 2   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean< -2.443464 17   0 M (0.00000000 1.00000000) *
## 
## $trees[[80]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 403 B (0.55811404 0.44188596)  
##     2) compactness_se< -3.721197 517 187 B (0.63829787 0.36170213)  
##       4) compactness_se>=-3.757389 40   0 B (1.00000000 0.00000000) *
##       5) compactness_se< -3.757389 477 187 B (0.60796646 0.39203354)  
##        10) texture_mean< 2.755881 33   2 B (0.93939394 0.06060606)  
##          20) smoothness_mean< -2.165734 31   0 B (1.00000000 0.00000000) *
##          21) smoothness_mean>=-2.165734 2   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=2.755881 444 185 B (0.58333333 0.41666667)  
##          22) texture_mean>=2.760642 431 172 B (0.60092807 0.39907193)  
##            44) texture_worst< 5.273054 408 154 B (0.62254902 0.37745098)  
##              88) texture_mean>=3.210432 30   1 B (0.96666667 0.03333333) *
##              89) texture_mean< 3.210432 378 153 B (0.59523810 0.40476190) *
##            45) texture_worst>=5.273054 23   5 M (0.21739130 0.78260870)  
##              90) compactness_se< -4.269248 5   0 B (1.00000000 0.00000000) *
##              91) compactness_se>=-4.269248 18   0 M (0.00000000 1.00000000) *
##          23) texture_mean< 2.760642 13   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-3.721197 395 179 M (0.45316456 0.54683544)  
##       6) compactness_se>=-3.530168 264 116 B (0.56060606 0.43939394)  
##        12) texture_mean< 3.064089 185  65 B (0.64864865 0.35135135)  
##          24) smoothness_mean< -2.385259 42   2 B (0.95238095 0.04761905)  
##            48) compactness_se>=-3.483667 39   0 B (1.00000000 0.00000000) *
##            49) compactness_se< -3.483667 3   1 M (0.33333333 0.66666667)  
##              98) texture_mean< 2.743416 1   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=2.743416 2   0 M (0.00000000 1.00000000) *
##          25) smoothness_mean>=-2.385259 143  63 B (0.55944056 0.44055944)  
##            50) smoothness_worst>=-1.476605 76  19 B (0.75000000 0.25000000)  
##             100) smoothness_worst< -1.393134 60   9 B (0.85000000 0.15000000) *
##             101) smoothness_worst>=-1.393134 16   6 M (0.37500000 0.62500000) *
##            51) smoothness_worst< -1.476605 67  23 M (0.34328358 0.65671642)  
##             102) symmetry_worst< -2.063476 10   0 B (1.00000000 0.00000000) *
##             103) symmetry_worst>=-2.063476 57  13 M (0.22807018 0.77192982) *
##        13) texture_mean>=3.064089 79  28 M (0.35443038 0.64556962)  
##          26) symmetry_worst>=-1.206678 7   0 B (1.00000000 0.00000000) *
##          27) symmetry_worst< -1.206678 72  21 M (0.29166667 0.70833333)  
##            54) smoothness_mean>=-2.120284 6   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean< -2.120284 66  15 M (0.22727273 0.77272727)  
##             110) smoothness_worst< -1.610115 15   5 B (0.66666667 0.33333333) *
##             111) smoothness_worst>=-1.610115 51   5 M (0.09803922 0.90196078) *
##       7) compactness_se< -3.530168 131  31 M (0.23664122 0.76335878)  
##        14) texture_mean< 2.673292 5   0 B (1.00000000 0.00000000) *
##        15) texture_mean>=2.673292 126  26 M (0.20634921 0.79365079)  
##          30) smoothness_mean< -2.423737 20   9 B (0.55000000 0.45000000)  
##            60) smoothness_mean>=-2.473552 9   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean< -2.473552 11   2 M (0.18181818 0.81818182)  
##             122) smoothness_mean< -2.548296 2   0 B (1.00000000 0.00000000) *
##             123) smoothness_mean>=-2.548296 9   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean>=-2.423737 106  15 M (0.14150943 0.85849057)  
##            62) smoothness_worst>=-1.45003 25  10 M (0.40000000 0.60000000)  
##             124) smoothness_mean< -2.22333 10   0 B (1.00000000 0.00000000) *
##             125) smoothness_mean>=-2.22333 15   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst< -1.45003 81   5 M (0.06172840 0.93827160)  
##             126) symmetry_worst< -2.174989 6   2 B (0.66666667 0.33333333) *
##             127) symmetry_worst>=-2.174989 75   1 M (0.01333333 0.98666667) *
## 
## $trees[[81]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 427 B (0.53179825 0.46820175)  
##     2) texture_worst< 4.389172 229  78 B (0.65938865 0.34061135)  
##       4) smoothness_worst>=-1.434633 38   3 B (0.92105263 0.07894737)  
##         8) texture_worst< 4.30106 32   0 B (1.00000000 0.00000000) *
##         9) texture_worst>=4.30106 6   3 B (0.50000000 0.50000000)  
##          18) texture_worst>=4.375462 3   0 B (1.00000000 0.00000000) *
##          19) texture_worst< 4.375462 3   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.434633 191  75 B (0.60732984 0.39267016)  
##        10) smoothness_worst< -1.445495 180  64 B (0.64444444 0.35555556)  
##          20) texture_mean>=2.827309 59   9 B (0.84745763 0.15254237)  
##            40) smoothness_mean< -2.178638 57   7 B (0.87719298 0.12280702)  
##              80) texture_worst< 4.349432 34   0 B (1.00000000 0.00000000) *
##              81) texture_worst>=4.349432 23   7 B (0.69565217 0.30434783) *
##            41) smoothness_mean>=-2.178638 2   0 M (0.00000000 1.00000000) *
##          21) texture_mean< 2.827309 121  55 B (0.54545455 0.45454545)  
##            42) compactness_se< -3.88564 53  10 B (0.81132075 0.18867925)  
##              84) texture_mean< 2.809391 41   0 B (1.00000000 0.00000000) *
##              85) texture_mean>=2.809391 12   2 M (0.16666667 0.83333333) *
##            43) compactness_se>=-3.88564 68  23 M (0.33823529 0.66176471)  
##              86) texture_mean>=2.782848 13   0 B (1.00000000 0.00000000) *
##              87) texture_mean< 2.782848 55  10 M (0.18181818 0.81818182) *
##        11) smoothness_worst>=-1.445495 11   0 M (0.00000000 1.00000000) *
##     3) texture_worst>=4.389172 683 334 M (0.48901903 0.51098097)  
##       6) texture_worst>=4.662685 368 157 B (0.57336957 0.42663043)  
##        12) texture_worst< 4.682677 32   2 B (0.93750000 0.06250000)  
##          24) smoothness_worst>=-1.581566 27   0 B (1.00000000 0.00000000) *
##          25) smoothness_worst< -1.581566 5   2 B (0.60000000 0.40000000)  
##            50) texture_mean>=3.045336 3   0 B (1.00000000 0.00000000) *
##            51) texture_mean< 3.045336 2   0 M (0.00000000 1.00000000) *
##        13) texture_worst>=4.682677 336 155 B (0.53869048 0.46130952)  
##          26) symmetry_worst< -1.658507 240  94 B (0.60833333 0.39166667)  
##            52) symmetry_worst>=-1.734244 63  11 B (0.82539683 0.17460317)  
##             104) smoothness_mean>=-2.484059 54   3 B (0.94444444 0.05555556) *
##             105) smoothness_mean< -2.484059 9   1 M (0.11111111 0.88888889) *
##            53) symmetry_worst< -1.734244 177  83 B (0.53107345 0.46892655)  
##             106) smoothness_worst< -1.52112 111  31 B (0.72072072 0.27927928) *
##             107) smoothness_worst>=-1.52112 66  14 M (0.21212121 0.78787879) *
##          27) symmetry_worst>=-1.658507 96  35 M (0.36458333 0.63541667)  
##            54) compactness_se>=-3.494961 39  11 B (0.71794872 0.28205128)  
##             108) symmetry_worst>=-1.585921 30   2 B (0.93333333 0.06666667) *
##             109) symmetry_worst< -1.585921 9   0 M (0.00000000 1.00000000) *
##            55) compactness_se< -3.494961 57   7 M (0.12280702 0.87719298)  
##             110) compactness_se< -4.539406 4   1 B (0.75000000 0.25000000) *
##             111) compactness_se>=-4.539406 53   4 M (0.07547170 0.92452830) *
##       7) texture_worst< 4.662685 315 123 M (0.39047619 0.60952381)  
##        14) smoothness_worst< -1.471529 256 114 M (0.44531250 0.55468750)  
##          28) texture_mean< 3.046584 208  99 B (0.52403846 0.47596154)  
##            56) texture_mean>=2.93492 94  29 B (0.69148936 0.30851064)  
##             112) texture_worst>=4.600592 33   0 B (1.00000000 0.00000000) *
##             113) texture_worst< 4.600592 61  29 B (0.52459016 0.47540984) *
##            57) texture_mean< 2.93492 114  44 M (0.38596491 0.61403509)  
##             114) smoothness_mean< -2.469882 12   0 B (1.00000000 0.00000000) *
##             115) smoothness_mean>=-2.469882 102  32 M (0.31372549 0.68627451) *
##          29) texture_mean>=3.046584 48   5 M (0.10416667 0.89583333)  
##            58) compactness_se< -3.979417 10   4 M (0.40000000 0.60000000)  
##             116) texture_mean>=3.065935 5   1 B (0.80000000 0.20000000) *
##             117) texture_mean< 3.065935 5   0 M (0.00000000 1.00000000) *
##            59) compactness_se>=-3.979417 38   1 M (0.02631579 0.97368421)  
##             118) texture_mean>=3.146714 1   0 B (1.00000000 0.00000000) *
##             119) texture_mean< 3.146714 37   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.471529 59   9 M (0.15254237 0.84745763)  
##          30) symmetry_worst< -1.846189 8   1 B (0.87500000 0.12500000)  
##            60) smoothness_mean>=-2.357755 7   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean< -2.357755 1   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-1.846189 51   2 M (0.03921569 0.96078431)  
##            62) compactness_se< -4.224437 2   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.224437 49   0 M (0.00000000 1.00000000) *
## 
## $trees[[82]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 437 M (0.47916667 0.52083333)  
##     2) smoothness_mean>=-2.311576 346 142 B (0.58959538 0.41040462)  
##       4) symmetry_worst>=-2.277393 326 122 B (0.62576687 0.37423313)  
##         8) compactness_se< -3.658265 188  52 B (0.72340426 0.27659574)  
##          16) smoothness_worst< -1.485467 51   0 B (1.00000000 0.00000000) *
##          17) smoothness_worst>=-1.485467 137  52 B (0.62043796 0.37956204)  
##            34) smoothness_worst>=-1.478565 117  36 B (0.69230769 0.30769231)  
##              68) smoothness_worst< -1.451352 30   0 B (1.00000000 0.00000000) *
##              69) smoothness_worst>=-1.451352 87  36 B (0.58620690 0.41379310) *
##            35) smoothness_worst< -1.478565 20   4 M (0.20000000 0.80000000)  
##              70) compactness_se< -4.216002 4   0 B (1.00000000 0.00000000) *
##              71) compactness_se>=-4.216002 16   0 M (0.00000000 1.00000000) *
##         9) compactness_se>=-3.658265 138  68 M (0.49275362 0.50724638)  
##          18) symmetry_worst< -1.761895 65  21 B (0.67692308 0.32307692)  
##            36) smoothness_worst>=-1.474843 32   2 B (0.93750000 0.06250000)  
##              72) compactness_se>=-3.570244 30   0 B (1.00000000 0.00000000) *
##              73) compactness_se< -3.570244 2   0 M (0.00000000 1.00000000) *
##            37) smoothness_worst< -1.474843 33  14 M (0.42424242 0.57575758)  
##              74) smoothness_worst< -1.506961 22   8 B (0.63636364 0.36363636) *
##              75) smoothness_worst>=-1.506961 11   0 M (0.00000000 1.00000000) *
##          19) symmetry_worst>=-1.761895 73  24 M (0.32876712 0.67123288)  
##            38) compactness_se>=-2.552001 6   0 B (1.00000000 0.00000000) *
##            39) compactness_se< -2.552001 67  18 M (0.26865672 0.73134328)  
##              78) smoothness_mean>=-2.107265 12   4 B (0.66666667 0.33333333) *
##              79) smoothness_mean< -2.107265 55  10 M (0.18181818 0.81818182) *
##       5) symmetry_worst< -2.277393 20   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean< -2.311576 566 233 M (0.41166078 0.58833922)  
##       6) texture_mean< 2.811204 55  15 B (0.72727273 0.27272727)  
##        12) compactness_se< -3.503762 28   0 B (1.00000000 0.00000000) *
##        13) compactness_se>=-3.503762 27  12 M (0.44444444 0.55555556)  
##          26) texture_mean>=2.782752 10   0 B (1.00000000 0.00000000) *
##          27) texture_mean< 2.782752 17   2 M (0.11764706 0.88235294)  
##            54) compactness_se>=-3.334077 2   0 B (1.00000000 0.00000000) *
##            55) compactness_se< -3.334077 15   0 M (0.00000000 1.00000000) *
##       7) texture_mean>=2.811204 511 193 M (0.37769080 0.62230920)  
##        14) smoothness_mean< -2.332581 430 181 M (0.42093023 0.57906977)  
##          28) texture_mean< 2.976294 185  88 B (0.52432432 0.47567568)  
##            56) texture_worst>=4.400796 144  56 B (0.61111111 0.38888889)  
##             112) texture_worst< 4.569119 47   0 B (1.00000000 0.00000000) *
##             113) texture_worst>=4.569119 97  41 M (0.42268041 0.57731959) *
##            57) texture_worst< 4.400796 41   9 M (0.21951220 0.78048780)  
##             114) texture_mean>=2.881435 7   0 B (1.00000000 0.00000000) *
##             115) texture_mean< 2.881435 34   2 M (0.05882353 0.94117647) *
##          29) texture_mean>=2.976294 245  84 M (0.34285714 0.65714286)  
##            58) texture_worst>=4.543246 194  82 M (0.42268041 0.57731959)  
##             116) smoothness_worst< -1.618721 27   2 B (0.92592593 0.07407407) *
##             117) smoothness_worst>=-1.618721 167  57 M (0.34131737 0.65868263) *
##            59) texture_worst< 4.543246 51   2 M (0.03921569 0.96078431)  
##             118) compactness_se>=-2.715861 1   0 B (1.00000000 0.00000000) *
##             119) compactness_se< -2.715861 50   1 M (0.02000000 0.98000000) *
##        15) smoothness_mean>=-2.332581 81  12 M (0.14814815 0.85185185)  
##          30) symmetry_worst< -1.997079 5   0 B (1.00000000 0.00000000) *
##          31) symmetry_worst>=-1.997079 76   7 M (0.09210526 0.90789474)  
##            62) compactness_se>=-3.515615 17   7 M (0.41176471 0.58823529)  
##             124) compactness_se< -3.346393 7   0 B (1.00000000 0.00000000) *
##             125) compactness_se>=-3.346393 10   0 M (0.00000000 1.00000000) *
##            63) compactness_se< -3.515615 59   0 M (0.00000000 1.00000000) *
## 
## $trees[[83]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 426 B (0.53289474 0.46710526)  
##     2) compactness_se< -4.706178 27   1 B (0.96296296 0.03703704)  
##       4) symmetry_worst< -1.319003 26   0 B (1.00000000 0.00000000) *
##       5) symmetry_worst>=-1.319003 1   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-4.706178 885 425 B (0.51977401 0.48022599)  
##       6) symmetry_worst>=-1.606972 243  89 B (0.63374486 0.36625514)  
##        12) symmetry_worst< -1.012175 231  77 B (0.66666667 0.33333333)  
##          24) smoothness_mean< -2.17464 205  58 B (0.71707317 0.28292683)  
##            48) compactness_se>=-4.178455 165  35 B (0.78787879 0.21212121)  
##              96) symmetry_worst< -1.513385 77   6 B (0.92207792 0.07792208) *
##              97) symmetry_worst>=-1.513385 88  29 B (0.67045455 0.32954545) *
##            49) compactness_se< -4.178455 40  17 M (0.42500000 0.57500000)  
##              98) symmetry_worst>=-1.490299 12   0 B (1.00000000 0.00000000) *
##              99) symmetry_worst< -1.490299 28   5 M (0.17857143 0.82142857) *
##          25) smoothness_mean>=-2.17464 26   7 M (0.26923077 0.73076923)  
##            50) texture_mean< 2.725042 12   5 B (0.58333333 0.41666667)  
##             100) texture_mean>=2.518783 7   0 B (1.00000000 0.00000000) *
##             101) texture_mean< 2.518783 5   0 M (0.00000000 1.00000000) *
##            51) texture_mean>=2.725042 14   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-1.012175 12   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst< -1.606972 642 306 M (0.47663551 0.52336449)  
##        14) smoothness_mean< -2.423454 195  75 B (0.61538462 0.38461538)  
##          28) smoothness_mean>=-2.467991 85  12 B (0.85882353 0.14117647)  
##            56) symmetry_worst>=-2.037728 65   0 B (1.00000000 0.00000000) *
##            57) symmetry_worst< -2.037728 20   8 M (0.40000000 0.60000000)  
##             114) symmetry_worst< -2.050548 8   0 B (1.00000000 0.00000000) *
##             115) symmetry_worst>=-2.050548 12   0 M (0.00000000 1.00000000) *
##          29) smoothness_mean< -2.467991 110  47 M (0.42727273 0.57272727)  
##            58) texture_mean< 2.869285 16   0 B (1.00000000 0.00000000) *
##            59) texture_mean>=2.869285 94  31 M (0.32978723 0.67021277)  
##             118) compactness_se>=-2.870592 8   0 B (1.00000000 0.00000000) *
##             119) compactness_se< -2.870592 86  23 M (0.26744186 0.73255814) *
##        15) smoothness_mean>=-2.423454 447 186 M (0.41610738 0.58389262)  
##          30) smoothness_mean>=-2.14559 17   1 B (0.94117647 0.05882353)  
##            60) compactness_se>=-3.894596 16   0 B (1.00000000 0.00000000) *
##            61) compactness_se< -3.894596 1   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean< -2.14559 430 170 M (0.39534884 0.60465116)  
##            62) compactness_se< -3.991189 147  68 B (0.53741497 0.46258503)  
##             124) compactness_se>=-4.447766 117  39 B (0.66666667 0.33333333) *
##             125) compactness_se< -4.447766 30   1 M (0.03333333 0.96666667) *
##            63) compactness_se>=-3.991189 283  91 M (0.32155477 0.67844523)  
##             126) texture_mean< 2.960364 116  51 M (0.43965517 0.56034483) *
##             127) texture_mean>=2.960364 167  40 M (0.23952096 0.76047904) *
## 
## $trees[[84]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 410 B (0.55043860 0.44956140)  
##     2) texture_mean< 2.931727 288  92 B (0.68055556 0.31944444)  
##       4) symmetry_worst< -1.427209 242  66 B (0.72727273 0.27272727)  
##         8) texture_worst>=4.400796 106  15 B (0.85849057 0.14150943)  
##          16) compactness_se>=-4.681232 100  11 B (0.89000000 0.11000000)  
##            32) texture_mean>=2.848102 93   7 B (0.92473118 0.07526882)  
##              64) symmetry_worst>=-1.766028 58   0 B (1.00000000 0.00000000) *
##              65) symmetry_worst< -1.766028 35   7 B (0.80000000 0.20000000) *
##            33) texture_mean< 2.848102 7   3 M (0.42857143 0.57142857)  
##              66) texture_mean< 2.830536 3   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=2.830536 4   0 M (0.00000000 1.00000000) *
##          17) compactness_se< -4.681232 6   2 M (0.33333333 0.66666667)  
##            34) texture_mean< 2.888991 2   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.888991 4   0 M (0.00000000 1.00000000) *
##         9) texture_worst< 4.400796 136  51 B (0.62500000 0.37500000)  
##          18) texture_worst< 4.260219 69  10 B (0.85507246 0.14492754)  
##            36) texture_mean< 2.878198 67   8 B (0.88059701 0.11940299)  
##              72) symmetry_worst>=-1.923474 44   2 B (0.95454545 0.04545455) *
##              73) symmetry_worst< -1.923474 23   6 B (0.73913043 0.26086957) *
##            37) texture_mean>=2.878198 2   0 M (0.00000000 1.00000000) *
##          19) texture_worst>=4.260219 67  26 M (0.38805970 0.61194030)  
##            38) smoothness_mean>=-2.27605 20   5 B (0.75000000 0.25000000)  
##              76) smoothness_mean< -2.220126 15   0 B (1.00000000 0.00000000) *
##              77) smoothness_mean>=-2.220126 5   0 M (0.00000000 1.00000000) *
##            39) smoothness_mean< -2.27605 47  11 M (0.23404255 0.76595745)  
##              78) texture_mean< 2.824054 20  10 B (0.50000000 0.50000000) *
##              79) texture_mean>=2.824054 27   1 M (0.03703704 0.96296296) *
##       5) symmetry_worst>=-1.427209 46  20 M (0.43478261 0.56521739)  
##        10) texture_mean< 2.77286 20   5 B (0.75000000 0.25000000)  
##          20) symmetry_worst< -1.195967 15   0 B (1.00000000 0.00000000) *
##          21) symmetry_worst>=-1.195967 5   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=2.77286 26   5 M (0.19230769 0.80769231)  
##          22) compactness_se>=-2.646661 4   0 B (1.00000000 0.00000000) *
##          23) compactness_se< -2.646661 22   1 M (0.04545455 0.95454545)  
##            46) texture_mean>=2.926371 1   0 B (1.00000000 0.00000000) *
##            47) texture_mean< 2.926371 21   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.931727 624 306 M (0.49038462 0.50961538)  
##       6) texture_worst>=4.530419 524 241 B (0.54007634 0.45992366)  
##        12) texture_worst< 4.55941 26   2 B (0.92307692 0.07692308)  
##          24) texture_mean< 3.035431 24   0 B (1.00000000 0.00000000) *
##          25) texture_mean>=3.035431 2   0 M (0.00000000 1.00000000) *
##        13) texture_worst>=4.55941 498 239 B (0.52008032 0.47991968)  
##          26) texture_worst>=4.60096 444 195 B (0.56081081 0.43918919)  
##            52) smoothness_worst>=-1.533238 256  90 B (0.64843750 0.35156250)  
##             104) compactness_se>=-3.863738 162  39 B (0.75925926 0.24074074) *
##             105) compactness_se< -3.863738 94  43 M (0.45744681 0.54255319) *
##            53) smoothness_worst< -1.533238 188  83 M (0.44148936 0.55851064)  
##             106) smoothness_mean< -2.408892 117  52 B (0.55555556 0.44444444) *
##             107) smoothness_mean>=-2.408892 71  18 M (0.25352113 0.74647887) *
##          27) texture_worst< 4.60096 54  10 M (0.18518519 0.81481481)  
##            54) texture_mean< 2.937837 5   0 B (1.00000000 0.00000000) *
##            55) texture_mean>=2.937837 49   5 M (0.10204082 0.89795918)  
##             110) compactness_se< -4.349798 5   0 B (1.00000000 0.00000000) *
##             111) compactness_se>=-4.349798 44   0 M (0.00000000 1.00000000) *
##       7) texture_worst< 4.530419 100  23 M (0.23000000 0.77000000)  
##        14) texture_worst< 4.359632 6   0 B (1.00000000 0.00000000) *
##        15) texture_worst>=4.359632 94  17 M (0.18085106 0.81914894)  
##          30) symmetry_worst< -1.735506 34  14 M (0.41176471 0.58823529)  
##            60) texture_worst< 4.459286 9   0 B (1.00000000 0.00000000) *
##            61) texture_worst>=4.459286 25   5 M (0.20000000 0.80000000)  
##             122) compactness_se< -4.501722 4   0 B (1.00000000 0.00000000) *
##             123) compactness_se>=-4.501722 21   1 M (0.04761905 0.95238095) *
##          31) symmetry_worst>=-1.735506 60   3 M (0.05000000 0.95000000)  
##            62) compactness_se< -4.291103 3   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.291103 57   0 M (0.00000000 1.00000000) *
## 
## $trees[[85]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 409 B (0.55153509 0.44846491)  
##     2) symmetry_worst< -1.529201 756 307 B (0.59391534 0.40608466)  
##       4) texture_mean>=3.212655 92  19 B (0.79347826 0.20652174)  
##         8) smoothness_worst>=-1.557838 66   6 B (0.90909091 0.09090909)  
##          16) texture_mean< 3.431166 64   4 B (0.93750000 0.06250000)  
##            32) smoothness_mean< -2.272056 62   2 B (0.96774194 0.03225806)  
##              64) compactness_se< -2.59933 61   1 B (0.98360656 0.01639344) *
##              65) compactness_se>=-2.59933 1   0 M (0.00000000 1.00000000) *
##            33) smoothness_mean>=-2.272056 2   0 M (0.00000000 1.00000000) *
##          17) texture_mean>=3.431166 2   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst< -1.557838 26  13 B (0.50000000 0.50000000)  
##          18) compactness_se< -3.984233 10   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-3.984233 16   3 M (0.18750000 0.81250000)  
##            38) smoothness_mean< -2.471478 3   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean>=-2.471478 13   0 M (0.00000000 1.00000000) *
##       5) texture_mean< 3.212655 664 288 B (0.56626506 0.43373494)  
##        10) texture_worst< 4.1745 57   9 B (0.84210526 0.15789474)  
##          20) smoothness_worst>=-1.600553 48   3 B (0.93750000 0.06250000)  
##            40) smoothness_worst>=-1.54023 37   0 B (1.00000000 0.00000000) *
##            41) smoothness_worst< -1.54023 11   3 B (0.72727273 0.27272727)  
##              82) smoothness_worst< -1.551806 8   0 B (1.00000000 0.00000000) *
##              83) smoothness_worst>=-1.551806 3   0 M (0.00000000 1.00000000) *
##          21) smoothness_worst< -1.600553 9   3 M (0.33333333 0.66666667)  
##            42) smoothness_mean< -2.466148 3   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean>=-2.466148 6   0 M (0.00000000 1.00000000) *
##        11) texture_worst>=4.1745 607 279 B (0.54036244 0.45963756)  
##          22) texture_mean>=2.771267 582 258 B (0.55670103 0.44329897)  
##            44) symmetry_worst< -1.866596 202  68 B (0.66336634 0.33663366)  
##              88) smoothness_worst< -1.575665 50   5 B (0.90000000 0.10000000) *
##              89) smoothness_worst>=-1.575665 152  63 B (0.58552632 0.41447368) *
##            45) symmetry_worst>=-1.866596 380 190 B (0.50000000 0.50000000)  
##              90) symmetry_worst>=-1.606972 83  23 B (0.72289157 0.27710843) *
##              91) symmetry_worst< -1.606972 297 130 M (0.43771044 0.56228956) *
##          23) texture_mean< 2.771267 25   4 M (0.16000000 0.84000000)  
##            46) compactness_se< -3.88564 4   0 B (1.00000000 0.00000000) *
##            47) compactness_se>=-3.88564 21   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.529201 156  54 M (0.34615385 0.65384615)  
##       6) smoothness_mean< -2.334751 63  26 B (0.58730159 0.41269841)  
##        12) compactness_se>=-3.2889 16   0 B (1.00000000 0.00000000) *
##        13) compactness_se< -3.2889 47  21 M (0.44680851 0.55319149)  
##          26) compactness_se< -4.260936 15   1 B (0.93333333 0.06666667)  
##            52) texture_worst< 5.204837 14   0 B (1.00000000 0.00000000) *
##            53) texture_worst>=5.204837 1   0 M (0.00000000 1.00000000) *
##          27) compactness_se>=-4.260936 32   7 M (0.21875000 0.78125000)  
##            54) texture_mean< 2.772337 5   0 B (1.00000000 0.00000000) *
##            55) texture_mean>=2.772337 27   2 M (0.07407407 0.92592593)  
##             110) smoothness_mean< -2.540124 1   0 B (1.00000000 0.00000000) *
##             111) smoothness_mean>=-2.540124 26   1 M (0.03846154 0.96153846) *
##       7) smoothness_mean>=-2.334751 93  17 M (0.18279570 0.81720430)  
##        14) texture_worst< 4.332604 17   6 B (0.64705882 0.35294118)  
##          28) symmetry_worst< -1.012175 13   2 B (0.84615385 0.15384615)  
##            56) texture_mean>=2.518783 12   1 B (0.91666667 0.08333333)  
##             112) compactness_se< -3.256808 10   0 B (1.00000000 0.00000000) *
##             113) compactness_se>=-3.256808 2   1 B (0.50000000 0.50000000) *
##            57) texture_mean< 2.518783 1   0 M (0.00000000 1.00000000) *
##          29) symmetry_worst>=-1.012175 4   0 M (0.00000000 1.00000000) *
##        15) texture_worst>=4.332604 76   6 M (0.07894737 0.92105263)  
##          30) symmetry_worst>=-1.140544 3   0 B (1.00000000 0.00000000) *
##          31) symmetry_worst< -1.140544 73   3 M (0.04109589 0.95890411)  
##            62) texture_mean< 2.788705 3   1 B (0.66666667 0.33333333)  
##             124) texture_mean>=2.75873 2   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 2.75873 1   0 M (0.00000000 1.00000000) *
##            63) texture_mean>=2.788705 70   1 M (0.01428571 0.98571429)  
##             126) compactness_se< -4.462046 1   0 B (1.00000000 0.00000000) *
##             127) compactness_se>=-4.462046 69   0 M (0.00000000 1.00000000) *
## 
## $trees[[86]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 446 M (0.48903509 0.51096491)  
##     2) symmetry_worst>=-1.959426 699 326 B (0.53361946 0.46638054)  
##       4) symmetry_worst< -1.528375 557 234 B (0.57989228 0.42010772)  
##         8) compactness_se< -3.721197 344 114 B (0.66860465 0.33139535)  
##          16) texture_worst>=4.550759 228  56 B (0.75438596 0.24561404)  
##            32) compactness_se>=-4.208076 153  18 B (0.88235294 0.11764706)  
##              64) symmetry_worst>=-1.925345 148  14 B (0.90540541 0.09459459) *
##              65) symmetry_worst< -1.925345 5   1 M (0.20000000 0.80000000) *
##            33) compactness_se< -4.208076 75  37 M (0.49333333 0.50666667)  
##              66) symmetry_worst< -1.658507 59  23 B (0.61016949 0.38983051) *
##              67) symmetry_worst>=-1.658507 16   1 M (0.06250000 0.93750000) *
##          17) texture_worst< 4.550759 116  58 B (0.50000000 0.50000000)  
##            34) symmetry_worst>=-1.853291 86  31 B (0.63953488 0.36046512)  
##              68) texture_worst< 4.507201 60   6 B (0.90000000 0.10000000) *
##              69) texture_worst>=4.507201 26   1 M (0.03846154 0.96153846) *
##            35) symmetry_worst< -1.853291 30   3 M (0.10000000 0.90000000)  
##              70) smoothness_worst< -1.56475 2   0 B (1.00000000 0.00000000) *
##              71) smoothness_worst>=-1.56475 28   1 M (0.03571429 0.96428571) *
##         9) compactness_se>=-3.721197 213  93 M (0.43661972 0.56338028)  
##          18) compactness_se>=-3.492659 142  60 B (0.57746479 0.42253521)  
##            36) texture_worst< 4.693641 89  21 B (0.76404494 0.23595506)  
##              72) texture_mean< 3.062639 85  17 B (0.80000000 0.20000000) *
##              73) texture_mean>=3.062639 4   0 M (0.00000000 1.00000000) *
##            37) texture_worst>=4.693641 53  14 M (0.26415094 0.73584906)  
##              74) smoothness_worst>=-1.425703 7   0 B (1.00000000 0.00000000) *
##              75) smoothness_worst< -1.425703 46   7 M (0.15217391 0.84782609) *
##          19) compactness_se< -3.492659 71  11 M (0.15492958 0.84507042)  
##            38) smoothness_worst< -1.588237 20   9 M (0.45000000 0.55000000)  
##              76) texture_mean>=2.945474 9   0 B (1.00000000 0.00000000) *
##              77) texture_mean< 2.945474 11   0 M (0.00000000 1.00000000) *
##            39) smoothness_worst>=-1.588237 51   2 M (0.03921569 0.96078431)  
##              78) smoothness_mean< -2.428332 2   0 B (1.00000000 0.00000000) *
##              79) smoothness_mean>=-2.428332 49   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.528375 142  50 M (0.35211268 0.64788732)  
##        10) texture_mean< 2.955935 64  30 B (0.53125000 0.46875000)  
##          20) symmetry_worst< -1.352813 38   7 B (0.81578947 0.18421053)  
##            40) smoothness_mean< -2.081877 34   3 B (0.91176471 0.08823529)  
##              80) smoothness_mean>=-2.402211 24   0 B (1.00000000 0.00000000) *
##              81) smoothness_mean< -2.402211 10   3 B (0.70000000 0.30000000) *
##            41) smoothness_mean>=-2.081877 4   0 M (0.00000000 1.00000000) *
##          21) symmetry_worst>=-1.352813 26   3 M (0.11538462 0.88461538)  
##            42) smoothness_mean< -2.346909 2   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean>=-2.346909 24   1 M (0.04166667 0.95833333)  
##              86) compactness_se>=-2.646661 1   0 B (1.00000000 0.00000000) *
##              87) compactness_se< -2.646661 23   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=2.955935 78  16 M (0.20512821 0.79487179)  
##          22) symmetry_worst>=-1.128751 6   0 B (1.00000000 0.00000000) *
##          23) symmetry_worst< -1.128751 72  10 M (0.13888889 0.86111111)  
##            46) smoothness_worst>=-1.407072 9   3 B (0.66666667 0.33333333)  
##              92) texture_mean< 3.037804 6   0 B (1.00000000 0.00000000) *
##              93) texture_mean>=3.037804 3   0 M (0.00000000 1.00000000) *
##            47) smoothness_worst< -1.407072 63   4 M (0.06349206 0.93650794)  
##              94) compactness_se< -4.494315 3   0 B (1.00000000 0.00000000) *
##              95) compactness_se>=-4.494315 60   1 M (0.01666667 0.98333333) *
##     3) symmetry_worst< -1.959426 213  73 M (0.34272300 0.65727700)  
##       6) symmetry_worst< -2.048468 132  58 M (0.43939394 0.56060606)  
##        12) compactness_se< -4.177518 24   2 B (0.91666667 0.08333333)  
##          24) smoothness_worst>=-1.662721 22   0 B (1.00000000 0.00000000) *
##          25) smoothness_worst< -1.662721 2   0 M (0.00000000 1.00000000) *
##        13) compactness_se>=-4.177518 108  36 M (0.33333333 0.66666667)  
##          26) smoothness_mean>=-2.334592 37  15 B (0.59459459 0.40540541)  
##            52) smoothness_mean< -2.280871 21   0 B (1.00000000 0.00000000) *
##            53) smoothness_mean>=-2.280871 16   1 M (0.06250000 0.93750000)  
##             106) compactness_se>=-3.299525 1   0 B (1.00000000 0.00000000) *
##             107) compactness_se< -3.299525 15   0 M (0.00000000 1.00000000) *
##          27) smoothness_mean< -2.334592 71  14 M (0.19718310 0.80281690)  
##            54) symmetry_worst< -2.25972 5   0 B (1.00000000 0.00000000) *
##            55) symmetry_worst>=-2.25972 66   9 M (0.13636364 0.86363636)  
##             110) texture_mean< 2.920077 3   0 B (1.00000000 0.00000000) *
##             111) texture_mean>=2.920077 63   6 M (0.09523810 0.90476190) *
##       7) symmetry_worst>=-2.048468 81  15 M (0.18518519 0.81481481)  
##        14) smoothness_worst< -1.604472 4   0 B (1.00000000 0.00000000) *
##        15) smoothness_worst>=-1.604472 77  11 M (0.14285714 0.85714286)  
##          30) smoothness_worst>=-1.465154 3   0 B (1.00000000 0.00000000) *
##          31) smoothness_worst< -1.465154 74   8 M (0.10810811 0.89189189)  
##            62) texture_mean>=3.287961 2   0 B (1.00000000 0.00000000) *
##            63) texture_mean< 3.287961 72   6 M (0.08333333 0.91666667)  
##             126) compactness_se>=-3.426272 11   5 M (0.45454545 0.54545455) *
##             127) compactness_se< -3.426272 61   1 M (0.01639344 0.98360656) *
## 
## $trees[[87]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 448 M (0.49122807 0.50877193)  
##    2) symmetry_worst< -1.072749 886 438 B (0.50564334 0.49435666)  
##      4) texture_mean< 2.960364 359 148 B (0.58774373 0.41225627)  
##        8) compactness_se>=-3.344528 41   2 B (0.95121951 0.04878049)  
##         16) symmetry_worst< -1.316602 36   0 B (1.00000000 0.00000000) *
##         17) symmetry_worst>=-1.316602 5   2 B (0.60000000 0.40000000)  
##           34) smoothness_mean>=-2.239141 3   0 B (1.00000000 0.00000000) *
##           35) smoothness_mean< -2.239141 2   0 M (0.00000000 1.00000000) *
##        9) compactness_se< -3.344528 318 146 B (0.54088050 0.45911950)  
##         18) texture_mean>=2.949165 29   0 B (1.00000000 0.00000000) *
##         19) texture_mean< 2.949165 289 143 M (0.49480969 0.50519031)  
##           38) compactness_se< -3.955455 133  50 B (0.62406015 0.37593985)  
##             76) symmetry_worst>=-1.739196 55   5 B (0.90909091 0.09090909) *
##             77) symmetry_worst< -1.739196 78  33 M (0.42307692 0.57692308) *
##           39) compactness_se>=-3.955455 156  60 M (0.38461538 0.61538462)  
##             78) texture_worst< 4.569492 115  56 M (0.48695652 0.51304348) *
##             79) texture_worst>=4.569492 41   4 M (0.09756098 0.90243902) *
##      5) texture_mean>=2.960364 527 237 M (0.44971537 0.55028463)  
##       10) texture_worst>=4.664833 340 153 B (0.55000000 0.45000000)  
##         20) texture_worst< 4.818867 120  35 B (0.70833333 0.29166667)  
##           40) texture_mean< 3.147592 109  24 B (0.77981651 0.22018349)  
##             80) texture_worst>=4.753106 61   3 B (0.95081967 0.04918033) *
##             81) texture_worst< 4.753106 48  21 B (0.56250000 0.43750000) *
##           41) texture_mean>=3.147592 11   0 M (0.00000000 1.00000000) *
##         21) texture_worst>=4.818867 220 102 M (0.46363636 0.53636364)  
##           42) smoothness_worst>=-1.610308 195  94 B (0.51794872 0.48205128)  
##             84) smoothness_mean< -2.506929 14   0 B (1.00000000 0.00000000) *
##             85) smoothness_mean>=-2.506929 181  87 M (0.48066298 0.51933702) *
##           43) smoothness_worst< -1.610308 25   1 M (0.04000000 0.96000000)  
##             86) smoothness_mean< -2.569836 1   0 B (1.00000000 0.00000000) *
##             87) smoothness_mean>=-2.569836 24   0 M (0.00000000 1.00000000) *
##       11) texture_worst< 4.664833 187  50 M (0.26737968 0.73262032)  
##         22) smoothness_worst< -1.498254 110  47 M (0.42727273 0.57272727)  
##           44) smoothness_worst>=-1.535355 40   9 B (0.77500000 0.22500000)  
##             88) texture_mean< 3.052861 32   1 B (0.96875000 0.03125000) *
##             89) texture_mean>=3.052861 8   0 M (0.00000000 1.00000000) *
##           45) smoothness_worst< -1.535355 70  16 M (0.22857143 0.77142857)  
##             90) texture_mean>=3.086027 9   1 B (0.88888889 0.11111111) *
##             91) texture_mean< 3.086027 61   8 M (0.13114754 0.86885246) *
##         23) smoothness_worst>=-1.498254 77   3 M (0.03896104 0.96103896)  
##           46) symmetry_worst< -1.833099 13   3 M (0.23076923 0.76923077)  
##             92) compactness_se< -3.816486 2   0 B (1.00000000 0.00000000) *
##             93) compactness_se>=-3.816486 11   1 M (0.09090909 0.90909091) *
##           47) symmetry_worst>=-1.833099 64   0 M (0.00000000 1.00000000) *
##    3) symmetry_worst>=-1.072749 26   0 M (0.00000000 1.00000000) *
## 
## $trees[[88]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 407 B (0.55372807 0.44627193)  
##     2) smoothness_mean< -2.251892 748 303 B (0.59491979 0.40508021)  
##       4) texture_mean>=3.212655 136  31 B (0.77205882 0.22794118)  
##         8) texture_mean< 3.239657 73   4 B (0.94520548 0.05479452)  
##          16) texture_worst< 5.194184 70   1 B (0.98571429 0.01428571)  
##            32) smoothness_mean< -2.272056 69   0 B (1.00000000 0.00000000) *
##            33) smoothness_mean>=-2.272056 1   0 M (0.00000000 1.00000000) *
##          17) texture_worst>=5.194184 3   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=3.239657 63  27 B (0.57142857 0.42857143)  
##          18) smoothness_mean< -2.3667 50  15 B (0.70000000 0.30000000)  
##            36) smoothness_mean>=-2.457799 30   2 B (0.93333333 0.06666667)  
##              72) texture_mean>=3.32987 22   0 B (1.00000000 0.00000000) *
##              73) texture_mean< 3.32987 8   2 B (0.75000000 0.25000000) *
##            37) smoothness_mean< -2.457799 20   7 M (0.35000000 0.65000000)  
##              74) smoothness_mean< -2.489159 5   0 B (1.00000000 0.00000000) *
##              75) smoothness_mean>=-2.489159 15   2 M (0.13333333 0.86666667) *
##          19) smoothness_mean>=-2.3667 13   1 M (0.07692308 0.92307692)  
##            38) smoothness_worst< -1.550482 3   1 M (0.33333333 0.66666667)  
##              76) texture_mean< 3.321235 1   0 B (1.00000000 0.00000000) *
##              77) texture_mean>=3.321235 2   0 M (0.00000000 1.00000000) *
##            39) smoothness_worst>=-1.550482 10   0 M (0.00000000 1.00000000) *
##       5) texture_mean< 3.212655 612 272 B (0.55555556 0.44444444)  
##        10) texture_mean< 2.960364 263  86 B (0.67300380 0.32699620)  
##          20) symmetry_worst< -1.426958 252  77 B (0.69444444 0.30555556)  
##            40) symmetry_worst>=-1.749307 78  11 B (0.85897436 0.14102564)  
##              80) compactness_se>=-4.650552 75   8 B (0.89333333 0.10666667) *
##              81) compactness_se< -4.650552 3   0 M (0.00000000 1.00000000) *
##            41) symmetry_worst< -1.749307 174  66 B (0.62068966 0.37931034)  
##              82) symmetry_worst< -1.787433 142  42 B (0.70422535 0.29577465) *
##              83) symmetry_worst>=-1.787433 32   8 M (0.25000000 0.75000000) *
##          21) symmetry_worst>=-1.426958 11   2 M (0.18181818 0.81818182)  
##            42) texture_mean< 2.772337 2   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.772337 9   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=2.960364 349 163 M (0.46704871 0.53295129)  
##          22) smoothness_mean>=-2.261926 32   3 B (0.90625000 0.09375000)  
##            44) texture_mean>=3.041416 29   0 B (1.00000000 0.00000000) *
##            45) texture_mean< 3.041416 3   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean< -2.261926 317 134 M (0.42271293 0.57728707)  
##            46) smoothness_mean< -2.277893 292 134 M (0.45890411 0.54109589)  
##              92) texture_worst< 4.858219 203  92 B (0.54679803 0.45320197) *
##              93) texture_worst>=4.858219 89  23 M (0.25842697 0.74157303) *
##            47) smoothness_mean>=-2.277893 25   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.251892 164  60 M (0.36585366 0.63414634)  
##       6) symmetry_worst< -1.766269 57  22 B (0.61403509 0.38596491)  
##        12) symmetry_worst>=-1.81005 25   1 B (0.96000000 0.04000000)  
##          24) smoothness_mean>=-2.222065 24   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean< -2.222065 1   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -1.81005 32  11 M (0.34375000 0.65625000)  
##          26) texture_mean< 3.023554 14   3 B (0.78571429 0.21428571)  
##            52) compactness_se< -3.01204 12   1 B (0.91666667 0.08333333)  
##             104) smoothness_worst>=-1.553129 11   0 B (1.00000000 0.00000000) *
##             105) smoothness_worst< -1.553129 1   0 M (0.00000000 1.00000000) *
##            53) compactness_se>=-3.01204 2   0 M (0.00000000 1.00000000) *
##          27) texture_mean>=3.023554 18   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.766269 107  25 M (0.23364486 0.76635514)  
##        14) smoothness_worst< -1.464806 25  10 B (0.60000000 0.40000000)  
##          28) compactness_se< -3.61314 11   0 B (1.00000000 0.00000000) *
##          29) compactness_se>=-3.61314 14   4 M (0.28571429 0.71428571)  
##            58) smoothness_worst< -1.507356 6   2 B (0.66666667 0.33333333)  
##             116) texture_mean< 2.925574 4   0 B (1.00000000 0.00000000) *
##             117) texture_mean>=2.925574 2   0 M (0.00000000 1.00000000) *
##            59) smoothness_worst>=-1.507356 8   0 M (0.00000000 1.00000000) *
##        15) smoothness_worst>=-1.464806 82  10 M (0.12195122 0.87804878)  
##          30) texture_mean< 2.77286 12   5 B (0.58333333 0.41666667)  
##            60) texture_mean>=2.515298 7   0 B (1.00000000 0.00000000) *
##            61) texture_mean< 2.515298 5   0 M (0.00000000 1.00000000) *
##          31) texture_mean>=2.77286 70   3 M (0.04285714 0.95714286)  
##            62) compactness_se< -4.224437 2   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.224437 68   1 M (0.01470588 0.98529412)  
##             126) texture_worst< 4.34911 10   1 M (0.10000000 0.90000000) *
##             127) texture_worst>=4.34911 58   0 M (0.00000000 1.00000000) *
## 
## $trees[[89]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 427 M (0.46820175 0.53179825)  
##     2) texture_worst>=4.982438 131  45 B (0.65648855 0.34351145)  
##       4) symmetry_worst< -1.703871 95  23 B (0.75789474 0.24210526)  
##         8) compactness_se< -4.045035 35   0 B (1.00000000 0.00000000) *
##         9) compactness_se>=-4.045035 60  23 B (0.61666667 0.38333333)  
##          18) compactness_se>=-3.798719 51  14 B (0.72549020 0.27450980)  
##            36) compactness_se< -3.321165 40   6 B (0.85000000 0.15000000)  
##              72) texture_mean< 3.428781 36   2 B (0.94444444 0.05555556) *
##              73) texture_mean>=3.428781 4   0 M (0.00000000 1.00000000) *
##            37) compactness_se>=-3.321165 11   3 M (0.27272727 0.72727273)  
##              74) compactness_se>=-2.802969 3   0 B (1.00000000 0.00000000) *
##              75) compactness_se< -2.802969 8   0 M (0.00000000 1.00000000) *
##          19) compactness_se< -3.798719 9   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.703871 36  14 M (0.38888889 0.61111111)  
##        10) texture_worst< 5.003123 10   0 B (1.00000000 0.00000000) *
##        11) texture_worst>=5.003123 26   4 M (0.15384615 0.84615385)  
##          22) symmetry_worst>=-1.45218 5   1 B (0.80000000 0.20000000)  
##            44) texture_mean>=3.219442 4   0 B (1.00000000 0.00000000) *
##            45) texture_mean< 3.219442 1   0 M (0.00000000 1.00000000) *
##          23) symmetry_worst< -1.45218 21   0 M (0.00000000 1.00000000) *
##     3) texture_worst< 4.982438 781 341 M (0.43661972 0.56338028)  
##       6) texture_mean< 2.960364 379 176 B (0.53562005 0.46437995)  
##        12) symmetry_worst>=-1.984119 313 124 B (0.60383387 0.39616613)  
##          24) symmetry_worst< -1.932547 15   0 B (1.00000000 0.00000000) *
##          25) symmetry_worst>=-1.932547 298 124 B (0.58389262 0.41610738)  
##            50) symmetry_worst>=-1.923474 290 116 B (0.60000000 0.40000000)  
##             100) texture_worst< 4.609039 255  93 B (0.63529412 0.36470588) *
##             101) texture_worst>=4.609039 35  12 M (0.34285714 0.65714286) *
##            51) symmetry_worst< -1.923474 8   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -1.984119 66  14 M (0.21212121 0.78787879)  
##          26) texture_mean< 2.846651 12   4 B (0.66666667 0.33333333)  
##            52) compactness_se< -3.689816 8   0 B (1.00000000 0.00000000) *
##            53) compactness_se>=-3.689816 4   0 M (0.00000000 1.00000000) *
##          27) texture_mean>=2.846651 54   6 M (0.11111111 0.88888889)  
##            54) smoothness_mean< -2.391331 3   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean>=-2.391331 51   3 M (0.05882353 0.94117647)  
##             110) smoothness_worst>=-1.480334 2   0 B (1.00000000 0.00000000) *
##             111) smoothness_worst< -1.480334 49   1 M (0.02040816 0.97959184) *
##       7) texture_mean>=2.960364 402 138 M (0.34328358 0.65671642)  
##        14) texture_mean>=2.996482 287 122 M (0.42508711 0.57491289)  
##          28) smoothness_worst>=-1.402559 27   4 B (0.85185185 0.14814815)  
##            56) compactness_se< -2.783552 25   2 B (0.92000000 0.08000000)  
##             112) smoothness_worst< -1.345706 24   1 B (0.95833333 0.04166667) *
##             113) smoothness_worst>=-1.345706 1   0 M (0.00000000 1.00000000) *
##            57) compactness_se>=-2.783552 2   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst< -1.402559 260  99 M (0.38076923 0.61923077)  
##            58) smoothness_worst< -1.426496 232  99 M (0.42672414 0.57327586)  
##             116) smoothness_worst>=-1.438548 12   0 B (1.00000000 0.00000000) *
##             117) smoothness_worst< -1.438548 220  87 M (0.39545455 0.60454545) *
##            59) smoothness_worst>=-1.426496 28   0 M (0.00000000 1.00000000) *
##        15) texture_mean< 2.996482 115  16 M (0.13913043 0.86086957)  
##          30) symmetry_worst< -1.95131 4   0 B (1.00000000 0.00000000) *
##          31) symmetry_worst>=-1.95131 111  12 M (0.10810811 0.89189189)  
##            62) texture_worst< 4.334485 3   0 B (1.00000000 0.00000000) *
##            63) texture_worst>=4.334485 108   9 M (0.08333333 0.91666667)  
##             126) smoothness_worst< -1.637109 1   0 B (1.00000000 0.00000000) *
##             127) smoothness_worst>=-1.637109 107   8 M (0.07476636 0.92523364) *
## 
## $trees[[90]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 432 M (0.47368421 0.52631579)  
##     2) texture_worst>=4.753106 321 122 B (0.61993769 0.38006231)  
##       4) compactness_se< -3.449233 261  81 B (0.68965517 0.31034483)  
##         8) compactness_se>=-4.406791 204  47 B (0.76960784 0.23039216)  
##          16) smoothness_worst< -1.52112 114  13 B (0.88596491 0.11403509)  
##            32) texture_worst< 5.309594 98   4 B (0.95918367 0.04081633)  
##              64) compactness_se< -3.512408 88   0 B (1.00000000 0.00000000) *
##              65) compactness_se>=-3.512408 10   4 B (0.60000000 0.40000000) *
##            33) texture_worst>=5.309594 16   7 M (0.43750000 0.56250000)  
##              66) texture_mean>=3.383004 6   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 3.383004 10   1 M (0.10000000 0.90000000) *
##          17) smoothness_worst>=-1.52112 90  34 B (0.62222222 0.37777778)  
##            34) smoothness_mean>=-2.439503 82  26 B (0.68292683 0.31707317)  
##              68) smoothness_mean< -2.343616 23   1 B (0.95652174 0.04347826) *
##              69) smoothness_mean>=-2.343616 59  25 B (0.57627119 0.42372881) *
##            35) smoothness_mean< -2.439503 8   0 M (0.00000000 1.00000000) *
##         9) compactness_se< -4.406791 57  23 M (0.40350877 0.59649123)  
##          18) texture_mean>=3.19908 18   0 B (1.00000000 0.00000000) *
##          19) texture_mean< 3.19908 39   5 M (0.12820513 0.87179487)  
##            38) smoothness_mean>=-2.307556 2   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean< -2.307556 37   3 M (0.08108108 0.91891892)  
##              78) compactness_se< -4.899363 2   0 B (1.00000000 0.00000000) *
##              79) compactness_se>=-4.899363 35   1 M (0.02857143 0.97142857) *
##       5) compactness_se>=-3.449233 60  19 M (0.31666667 0.68333333)  
##        10) smoothness_worst>=-1.415354 13   1 B (0.92307692 0.07692308)  
##          20) smoothness_mean< -2.075957 12   0 B (1.00000000 0.00000000) *
##          21) smoothness_mean>=-2.075957 1   0 M (0.00000000 1.00000000) *
##        11) smoothness_worst< -1.415354 47   7 M (0.14893617 0.85106383)  
##          22) smoothness_mean< -2.402844 11   4 B (0.63636364 0.36363636)  
##            44) compactness_se>=-3.188171 7   0 B (1.00000000 0.00000000) *
##            45) compactness_se< -3.188171 4   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean>=-2.402844 36   0 M (0.00000000 1.00000000) *
##     3) texture_worst< 4.753106 591 233 M (0.39424704 0.60575296)  
##       6) smoothness_worst< -1.451541 463 205 M (0.44276458 0.55723542)  
##        12) compactness_se>=-3.343689 70  21 B (0.70000000 0.30000000)  
##          24) compactness_se< -3.02233 35   1 B (0.97142857 0.02857143)  
##            48) texture_worst< 4.68552 34   0 B (1.00000000 0.00000000) *
##            49) texture_worst>=4.68552 1   0 M (0.00000000 1.00000000) *
##          25) compactness_se>=-3.02233 35  15 M (0.42857143 0.57142857)  
##            50) compactness_se>=-2.749072 15   1 B (0.93333333 0.06666667)  
##             100) texture_mean< 3.12162 14   0 B (1.00000000 0.00000000) *
##             101) texture_mean>=3.12162 1   0 M (0.00000000 1.00000000) *
##            51) compactness_se< -2.749072 20   1 M (0.05000000 0.95000000)  
##             102) texture_worst>=4.727406 1   0 B (1.00000000 0.00000000) *
##             103) texture_worst< 4.727406 19   0 M (0.00000000 1.00000000) *
##        13) compactness_se< -3.343689 393 156 M (0.39694656 0.60305344)  
##          26) texture_worst< 4.260219 42  10 B (0.76190476 0.23809524)  
##            52) compactness_se< -3.894783 17   0 B (1.00000000 0.00000000) *
##            53) compactness_se>=-3.894783 25  10 B (0.60000000 0.40000000)  
##             106) texture_mean< 2.753964 15   3 B (0.80000000 0.20000000) *
##             107) texture_mean>=2.753964 10   3 M (0.30000000 0.70000000) *
##          27) texture_worst>=4.260219 351 124 M (0.35327635 0.64672365)  
##            54) texture_worst>=4.3976 246 108 M (0.43902439 0.56097561)  
##             108) symmetry_worst>=-2.127018 209 103 B (0.50717703 0.49282297) *
##             109) symmetry_worst< -2.127018 37   2 M (0.05405405 0.94594595) *
##            55) texture_worst< 4.3976 105  16 M (0.15238095 0.84761905)  
##             110) smoothness_worst>=-1.468619 6   0 B (1.00000000 0.00000000) *
##             111) smoothness_worst< -1.468619 99  10 M (0.10101010 0.89898990) *
##       7) smoothness_worst>=-1.451541 128  28 M (0.21875000 0.78125000)  
##        14) texture_mean< 2.803301 26  11 B (0.57692308 0.42307692)  
##          28) texture_mean>=2.515298 16   1 B (0.93750000 0.06250000)  
##            56) texture_worst< 4.269167 14   0 B (1.00000000 0.00000000) *
##            57) texture_worst>=4.269167 2   1 B (0.50000000 0.50000000)  
##             114) texture_mean>=2.754252 1   0 B (1.00000000 0.00000000) *
##             115) texture_mean< 2.754252 1   0 M (0.00000000 1.00000000) *
##          29) texture_mean< 2.515298 10   0 M (0.00000000 1.00000000) *
##        15) texture_mean>=2.803301 102  13 M (0.12745098 0.87254902)  
##          30) symmetry_worst< -1.895488 4   0 B (1.00000000 0.00000000) *
##          31) symmetry_worst>=-1.895488 98   9 M (0.09183673 0.90816327)  
##            62) compactness_se>=-3.728868 38   9 M (0.23684211 0.76315789)  
##             124) compactness_se< -3.447524 10   1 B (0.90000000 0.10000000) *
##             125) compactness_se>=-3.447524 28   0 M (0.00000000 1.00000000) *
##            63) compactness_se< -3.728868 60   0 M (0.00000000 1.00000000) *
## 
## $trees[[91]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 422 M (0.46271930 0.53728070)  
##     2) texture_worst>=4.753106 312 128 B (0.58974359 0.41025641)  
##       4) symmetry_worst< -0.9904278 299 115 B (0.61538462 0.38461538)  
##         8) compactness_se>=-4.658767 273  94 B (0.65567766 0.34432234)  
##          16) compactness_se< -4.05446 89  13 B (0.85393258 0.14606742)  
##            32) smoothness_worst>=-1.588911 81   7 B (0.91358025 0.08641975)  
##              64) texture_mean< 3.108384 64   1 B (0.98437500 0.01562500) *
##              65) texture_mean>=3.108384 17   6 B (0.64705882 0.35294118) *
##            33) smoothness_worst< -1.588911 8   2 M (0.25000000 0.75000000)  
##              66) symmetry_worst< -1.744278 2   0 B (1.00000000 0.00000000) *
##              67) symmetry_worst>=-1.744278 6   0 M (0.00000000 1.00000000) *
##          17) compactness_se>=-4.05446 184  81 B (0.55978261 0.44021739)  
##            34) smoothness_mean< -2.339781 98  23 B (0.76530612 0.23469388)  
##              68) texture_mean< 3.321787 75  10 B (0.86666667 0.13333333) *
##              69) texture_mean>=3.321787 23  10 M (0.43478261 0.56521739) *
##            35) smoothness_mean>=-2.339781 86  28 M (0.32558140 0.67441860)  
##              70) texture_mean>=3.099415 48  21 B (0.56250000 0.43750000) *
##              71) texture_mean< 3.099415 38   1 M (0.02631579 0.97368421) *
##         9) compactness_se< -4.658767 26   5 M (0.19230769 0.80769231)  
##          18) compactness_se< -4.706178 5   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-4.706178 21   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-0.9904278 13   0 M (0.00000000 1.00000000) *
##     3) texture_worst< 4.753106 600 238 M (0.39666667 0.60333333)  
##       6) symmetry_worst< -1.82955 209  93 B (0.55502392 0.44497608)  
##        12) compactness_se>=-3.426272 45   3 B (0.93333333 0.06666667)  
##          24) smoothness_worst>=-1.707409 43   1 B (0.97674419 0.02325581)  
##            48) texture_mean< 3.181256 42   0 B (1.00000000 0.00000000) *
##            49) texture_mean>=3.181256 1   0 M (0.00000000 1.00000000) *
##          25) smoothness_worst< -1.707409 2   0 M (0.00000000 1.00000000) *
##        13) compactness_se< -3.426272 164  74 M (0.45121951 0.54878049)  
##          26) texture_worst< 4.605004 105  39 B (0.62857143 0.37142857)  
##            52) smoothness_mean< -2.443631 28   0 B (1.00000000 0.00000000) *
##            53) smoothness_mean>=-2.443631 77  38 M (0.49350649 0.50649351)  
##             106) texture_mean< 2.755881 9   0 B (1.00000000 0.00000000) *
##             107) texture_mean>=2.755881 68  29 M (0.42647059 0.57352941) *
##          27) texture_worst>=4.605004 59   8 M (0.13559322 0.86440678)  
##            54) texture_worst>=4.705934 13   6 B (0.53846154 0.46153846)  
##             108) texture_worst< 4.738904 7   0 B (1.00000000 0.00000000) *
##             109) texture_worst>=4.738904 6   0 M (0.00000000 1.00000000) *
##            55) texture_worst< 4.705934 46   1 M (0.02173913 0.97826087)  
##             110) smoothness_worst>=-1.480728 1   0 B (1.00000000 0.00000000) *
##             111) smoothness_worst< -1.480728 45   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-1.82955 391 122 M (0.31202046 0.68797954)  
##        14) texture_mean< 2.96604 272 108 M (0.39705882 0.60294118)  
##          28) texture_mean>=2.839078 163  77 B (0.52760736 0.47239264)  
##            56) texture_mean< 2.865053 25   1 B (0.96000000 0.04000000)  
##             112) smoothness_mean< -2.069465 24   0 B (1.00000000 0.00000000) *
##             113) smoothness_mean>=-2.069465 1   0 M (0.00000000 1.00000000) *
##            57) texture_mean>=2.865053 138  62 M (0.44927536 0.55072464)  
##             114) symmetry_worst>=-1.634569 53  15 B (0.71698113 0.28301887) *
##             115) symmetry_worst< -1.634569 85  24 M (0.28235294 0.71764706) *
##          29) texture_mean< 2.839078 109  22 M (0.20183486 0.79816514)  
##            58) smoothness_worst>=-1.434076 10   1 B (0.90000000 0.10000000)  
##             116) texture_mean< 2.803001 9   0 B (1.00000000 0.00000000) *
##             117) texture_mean>=2.803001 1   0 M (0.00000000 1.00000000) *
##            59) smoothness_worst< -1.434076 99  13 M (0.13131313 0.86868687)  
##             118) smoothness_mean< -2.451108 5   0 B (1.00000000 0.00000000) *
##             119) smoothness_mean>=-2.451108 94   8 M (0.08510638 0.91489362) *
##        15) texture_mean>=2.96604 119  14 M (0.11764706 0.88235294)  
##          30) compactness_se>=-2.744014 4   1 B (0.75000000 0.25000000)  
##            60) texture_mean>=2.990653 3   0 B (1.00000000 0.00000000) *
##            61) texture_mean< 2.990653 1   0 M (0.00000000 1.00000000) *
##          31) compactness_se< -2.744014 115  11 M (0.09565217 0.90434783)  
##            62) smoothness_mean>=-2.227061 19   6 M (0.31578947 0.68421053)  
##             124) smoothness_mean< -2.21595 5   0 B (1.00000000 0.00000000) *
##             125) smoothness_mean>=-2.21595 14   1 M (0.07142857 0.92857143) *
##            63) smoothness_mean< -2.227061 96   5 M (0.05208333 0.94791667)  
##             126) texture_mean< 2.975525 3   1 B (0.66666667 0.33333333) *
##             127) texture_mean>=2.975525 93   3 M (0.03225806 0.96774194) *
## 
## $trees[[92]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 429 M (0.47039474 0.52960526)  
##     2) symmetry_worst< -1.549706 740 353 B (0.52297297 0.47702703)  
##       4) smoothness_worst< -1.52112 374 137 B (0.63368984 0.36631016)  
##         8) smoothness_worst>=-1.536824 74   6 B (0.91891892 0.08108108)  
##          16) compactness_se< -3.629881 53   0 B (1.00000000 0.00000000) *
##          17) compactness_se>=-3.629881 21   6 B (0.71428571 0.28571429)  
##            34) compactness_se>=-3.500643 13   0 B (1.00000000 0.00000000) *
##            35) compactness_se< -3.500643 8   2 M (0.25000000 0.75000000)  
##              70) texture_mean>=3.13081 2   0 B (1.00000000 0.00000000) *
##              71) texture_mean< 3.13081 6   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst< -1.536824 300 131 B (0.56333333 0.43666667)  
##          18) smoothness_worst< -1.556752 232  79 B (0.65948276 0.34051724)  
##            36) smoothness_worst>=-1.568787 53   6 B (0.88679245 0.11320755)  
##              72) symmetry_worst>=-2.04723 39   1 B (0.97435897 0.02564103) *
##              73) symmetry_worst< -2.04723 14   5 B (0.64285714 0.35714286) *
##            37) smoothness_worst< -1.568787 179  73 B (0.59217877 0.40782123)  
##              74) smoothness_worst< -1.572768 151  48 B (0.68211921 0.31788079) *
##              75) smoothness_worst>=-1.572768 28   3 M (0.10714286 0.89285714) *
##          19) smoothness_worst>=-1.556752 68  16 M (0.23529412 0.76470588)  
##            38) compactness_se< -4.570437 6   0 B (1.00000000 0.00000000) *
##            39) compactness_se>=-4.570437 62  10 M (0.16129032 0.83870968)  
##              78) texture_mean>=3.271203 2   0 B (1.00000000 0.00000000) *
##              79) texture_mean< 3.271203 60   8 M (0.13333333 0.86666667) *
##       5) smoothness_worst>=-1.52112 366 150 M (0.40983607 0.59016393)  
##        10) texture_worst< 4.266143 26   3 B (0.88461538 0.11538462)  
##          20) smoothness_worst>=-1.480138 19   0 B (1.00000000 0.00000000) *
##          21) smoothness_worst< -1.480138 7   3 B (0.57142857 0.42857143)  
##            42) smoothness_worst< -1.486277 4   0 B (1.00000000 0.00000000) *
##            43) smoothness_worst>=-1.486277 3   0 M (0.00000000 1.00000000) *
##        11) texture_worst>=4.266143 340 127 M (0.37352941 0.62647059)  
##          22) smoothness_mean>=-2.262885 95  44 B (0.53684211 0.46315789)  
##            44) smoothness_mean< -2.244332 20   1 B (0.95000000 0.05000000)  
##              88) texture_mean< 3.141653 19   0 B (1.00000000 0.00000000) *
##              89) texture_mean>=3.141653 1   0 M (0.00000000 1.00000000) *
##            45) smoothness_mean>=-2.244332 75  32 M (0.42666667 0.57333333)  
##              90) symmetry_worst< -1.802807 24   6 B (0.75000000 0.25000000) *
##              91) symmetry_worst>=-1.802807 51  14 M (0.27450980 0.72549020) *
##          23) smoothness_mean< -2.262885 245  76 M (0.31020408 0.68979592)  
##            46) smoothness_mean< -2.403622 44  16 B (0.63636364 0.36363636)  
##              92) texture_mean< 2.955415 15   0 B (1.00000000 0.00000000) *
##              93) texture_mean>=2.955415 29  13 M (0.44827586 0.55172414) *
##            47) smoothness_mean>=-2.403622 201  48 M (0.23880597 0.76119403)  
##              94) compactness_se< -3.444069 160  48 M (0.30000000 0.70000000) *
##              95) compactness_se>=-3.444069 41   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.549706 172  42 M (0.24418605 0.75581395)  
##       6) texture_worst< 4.477941 46  21 B (0.54347826 0.45652174)  
##        12) compactness_se< -3.300819 29   5 B (0.82758621 0.17241379)  
##          24) texture_worst>=4.136225 20   0 B (1.00000000 0.00000000) *
##          25) texture_worst< 4.136225 9   4 M (0.44444444 0.55555556)  
##            50) smoothness_worst< -1.451541 4   0 B (1.00000000 0.00000000) *
##            51) smoothness_worst>=-1.451541 5   0 M (0.00000000 1.00000000) *
##        13) compactness_se>=-3.300819 17   1 M (0.05882353 0.94117647)  
##          26) compactness_se>=-2.588521 1   0 B (1.00000000 0.00000000) *
##          27) compactness_se< -2.588521 16   0 M (0.00000000 1.00000000) *
##       7) texture_worst>=4.477941 126  17 M (0.13492063 0.86507937)  
##        14) texture_mean>=3.214861 10   4 B (0.60000000 0.40000000)  
##          28) texture_mean< 3.251825 7   1 B (0.85714286 0.14285714)  
##            56) smoothness_mean< -2.312592 6   0 B (1.00000000 0.00000000) *
##            57) smoothness_mean>=-2.312592 1   0 M (0.00000000 1.00000000) *
##          29) texture_mean>=3.251825 3   0 M (0.00000000 1.00000000) *
##        15) texture_mean< 3.214861 116  11 M (0.09482759 0.90517241)  
##          30) smoothness_worst>=-1.506135 61  10 M (0.16393443 0.83606557)  
##            60) smoothness_mean< -2.353824 3   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean>=-2.353824 58   7 M (0.12068966 0.87931034)  
##             122) smoothness_worst< -1.496291 3   0 B (1.00000000 0.00000000) *
##             123) smoothness_worst>=-1.496291 55   4 M (0.07272727 0.92727273) *
##          31) smoothness_worst< -1.506135 55   1 M (0.01818182 0.98181818)  
##            62) texture_mean< 2.973222 7   1 M (0.14285714 0.85714286)  
##             124) texture_mean>=2.936149 1   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 2.936149 6   0 M (0.00000000 1.00000000) *
##            63) texture_mean>=2.973222 48   0 M (0.00000000 1.00000000) *
## 
## $trees[[93]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 448 B (0.50877193 0.49122807)  
##     2) smoothness_worst>=-1.59596 809 373 B (0.53893696 0.46106304)  
##       4) smoothness_worst< -1.472307 570 224 B (0.60701754 0.39298246)  
##         8) smoothness_worst>=-1.4768 77   0 B (1.00000000 0.00000000) *
##         9) smoothness_worst< -1.4768 493 224 B (0.54563895 0.45436105)  
##          18) texture_mean>=3.173668 88  18 B (0.79545455 0.20454545)  
##            36) texture_mean< 3.388429 80  10 B (0.87500000 0.12500000)  
##              72) compactness_se< -2.936385 77   7 B (0.90909091 0.09090909) *
##              73) compactness_se>=-2.936385 3   0 M (0.00000000 1.00000000) *
##            37) texture_mean>=3.388429 8   0 M (0.00000000 1.00000000) *
##          19) texture_mean< 3.173668 405 199 M (0.49135802 0.50864198)  
##            38) texture_mean< 3.057767 316 141 B (0.55379747 0.44620253)  
##              76) smoothness_worst< -1.48191 277 110 B (0.60288809 0.39711191) *
##              77) smoothness_worst>=-1.48191 39   8 M (0.20512821 0.79487179) *
##            39) texture_mean>=3.057767 89  24 M (0.26966292 0.73033708)  
##              78) smoothness_worst< -1.581477 10   0 B (1.00000000 0.00000000) *
##              79) smoothness_worst>=-1.581477 79  14 M (0.17721519 0.82278481) *
##       5) smoothness_worst>=-1.472307 239  90 M (0.37656904 0.62343096)  
##        10) compactness_se< -4.040144 58  16 B (0.72413793 0.27586207)  
##          20) compactness_se>=-4.186419 30   1 B (0.96666667 0.03333333)  
##            40) smoothness_worst>=-1.464013 29   0 B (1.00000000 0.00000000) *
##            41) smoothness_worst< -1.464013 1   0 M (0.00000000 1.00000000) *
##          21) compactness_se< -4.186419 28  13 M (0.46428571 0.53571429)  
##            42) compactness_se< -4.494315 9   0 B (1.00000000 0.00000000) *
##            43) compactness_se>=-4.494315 19   4 M (0.21052632 0.78947368)  
##              86) texture_mean< 2.950291 3   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.950291 16   1 M (0.06250000 0.93750000) *
##        11) compactness_se>=-4.040144 181  48 M (0.26519337 0.73480663)  
##          22) compactness_se>=-3.68868 107  46 M (0.42990654 0.57009346)  
##            44) symmetry_worst< -1.65431 52  17 B (0.67307692 0.32692308)  
##              88) texture_worst< 5.055553 46  11 B (0.76086957 0.23913043) *
##              89) texture_worst>=5.055553 6   0 M (0.00000000 1.00000000) *
##            45) symmetry_worst>=-1.65431 55  11 M (0.20000000 0.80000000)  
##              90) compactness_se< -3.646366 6   0 B (1.00000000 0.00000000) *
##              91) compactness_se>=-3.646366 49   5 M (0.10204082 0.89795918) *
##          23) compactness_se< -3.68868 74   2 M (0.02702703 0.97297297)  
##            46) texture_mean< 2.84692 11   2 M (0.18181818 0.81818182)  
##              92) texture_worst>=4.136225 2   0 B (1.00000000 0.00000000) *
##              93) texture_worst< 4.136225 9   0 M (0.00000000 1.00000000) *
##            47) texture_mean>=2.84692 63   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst< -1.59596 103  28 M (0.27184466 0.72815534)  
##       6) smoothness_worst< -1.603315 77  28 M (0.36363636 0.63636364)  
##        12) texture_mean>=3.086027 20   5 B (0.75000000 0.25000000)  
##          24) compactness_se>=-4.467841 16   1 B (0.93750000 0.06250000)  
##            48) smoothness_mean< -2.337942 15   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean>=-2.337942 1   0 M (0.00000000 1.00000000) *
##          25) compactness_se< -4.467841 4   0 M (0.00000000 1.00000000) *
##        13) texture_mean< 3.086027 57  13 M (0.22807018 0.77192982)  
##          26) smoothness_worst>=-1.607486 5   0 B (1.00000000 0.00000000) *
##          27) smoothness_worst< -1.607486 52   8 M (0.15384615 0.84615385)  
##            54) smoothness_worst< -1.657234 10   4 B (0.60000000 0.40000000)  
##             108) texture_mean< 3.075433 6   0 B (1.00000000 0.00000000) *
##             109) texture_mean>=3.075433 4   0 M (0.00000000 1.00000000) *
##            55) smoothness_worst>=-1.657234 42   2 M (0.04761905 0.95238095)  
##             110) symmetry_worst< -1.908171 2   0 B (1.00000000 0.00000000) *
##             111) symmetry_worst>=-1.908171 40   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.603315 26   0 M (0.00000000 1.00000000) *
## 
## $trees[[94]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 406 M (0.44517544 0.55482456)  
##     2) smoothness_worst>=-1.537035 563 274 B (0.51332149 0.48667851)  
##       4) smoothness_worst< -1.526111 42   2 B (0.95238095 0.04761905)  
##         8) texture_mean< 3.075172 39   0 B (1.00000000 0.00000000) *
##         9) texture_mean>=3.075172 3   1 M (0.33333333 0.66666667)  
##          18) smoothness_mean< -2.333527 1   0 B (1.00000000 0.00000000) *
##          19) smoothness_mean>=-2.333527 2   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst>=-1.526111 521 249 M (0.47792706 0.52207294)  
##        10) compactness_se< -3.444843 405 187 B (0.53827160 0.46172840)  
##          20) compactness_se>=-3.494961 37   0 B (1.00000000 0.00000000) *
##          21) compactness_se< -3.494961 368 181 M (0.49184783 0.50815217)  
##            42) texture_mean< 2.834388 44   6 B (0.86363636 0.13636364)  
##              84) smoothness_worst>=-1.480138 36   2 B (0.94444444 0.05555556) *
##              85) smoothness_worst< -1.480138 8   4 B (0.50000000 0.50000000) *
##            43) texture_mean>=2.834388 324 143 M (0.44135802 0.55864198)  
##              86) compactness_se< -3.673868 268 131 B (0.51119403 0.48880597) *
##              87) compactness_se>=-3.673868 56   6 M (0.10714286 0.89285714) *
##        11) compactness_se>=-3.444843 116  31 M (0.26724138 0.73275862)  
##          22) smoothness_mean< -2.359377 18   5 B (0.72222222 0.27777778)  
##            44) smoothness_mean>=-2.453967 14   1 B (0.92857143 0.07142857)  
##              88) texture_mean< 3.256167 13   0 B (1.00000000 0.00000000) *
##              89) texture_mean>=3.256167 1   0 M (0.00000000 1.00000000) *
##            45) smoothness_mean< -2.453967 4   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean>=-2.359377 98  18 M (0.18367347 0.81632653)  
##            46) symmetry_worst< -1.850715 19   8 B (0.57894737 0.42105263)  
##              92) smoothness_mean>=-2.25237 9   0 B (1.00000000 0.00000000) *
##              93) smoothness_mean< -2.25237 10   2 M (0.20000000 0.80000000) *
##            47) symmetry_worst>=-1.850715 79   7 M (0.08860759 0.91139241)  
##              94) texture_mean>=3.184212 2   0 B (1.00000000 0.00000000) *
##              95) texture_mean< 3.184212 77   5 M (0.06493506 0.93506494) *
##     3) smoothness_worst< -1.537035 349 117 M (0.33524355 0.66475645)  
##       6) texture_mean< 2.867852 58  24 B (0.58620690 0.41379310)  
##        12) smoothness_mean< -2.328678 42   8 B (0.80952381 0.19047619)  
##          24) symmetry_worst>=-1.977605 35   3 B (0.91428571 0.08571429)  
##            48) smoothness_worst< -1.542984 31   0 B (1.00000000 0.00000000) *
##            49) smoothness_worst>=-1.542984 4   1 M (0.25000000 0.75000000)  
##              98) texture_mean< 2.808677 1   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=2.808677 3   0 M (0.00000000 1.00000000) *
##          25) symmetry_worst< -1.977605 7   2 M (0.28571429 0.71428571)  
##            50) texture_mean< 2.763153 2   0 B (1.00000000 0.00000000) *
##            51) texture_mean>=2.763153 5   0 M (0.00000000 1.00000000) *
##        13) smoothness_mean>=-2.328678 16   0 M (0.00000000 1.00000000) *
##       7) texture_mean>=2.867852 291  83 M (0.28522337 0.71477663)  
##        14) symmetry_worst< -1.966444 76  36 B (0.52631579 0.47368421)  
##          28) smoothness_worst< -1.559798 49  15 B (0.69387755 0.30612245)  
##            56) symmetry_worst>=-2.49184 40   7 B (0.82500000 0.17500000)  
##             112) compactness_se< -2.951614 32   1 B (0.96875000 0.03125000) *
##             113) compactness_se>=-2.951614 8   2 M (0.25000000 0.75000000) *
##            57) symmetry_worst< -2.49184 9   1 M (0.11111111 0.88888889)  
##             114) texture_mean>=3.276838 1   0 B (1.00000000 0.00000000) *
##             115) texture_mean< 3.276838 8   0 M (0.00000000 1.00000000) *
##          29) smoothness_worst>=-1.559798 27   6 M (0.22222222 0.77777778)  
##            58) texture_mean>=3.344965 4   0 B (1.00000000 0.00000000) *
##            59) texture_mean< 3.344965 23   2 M (0.08695652 0.91304348)  
##             118) smoothness_mean>=-2.347024 3   1 B (0.66666667 0.33333333) *
##             119) smoothness_mean< -2.347024 20   0 M (0.00000000 1.00000000) *
##        15) symmetry_worst>=-1.966444 215  43 M (0.20000000 0.80000000)  
##          30) texture_worst< 4.389974 18   6 B (0.66666667 0.33333333)  
##            60) smoothness_mean>=-2.497059 12   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean< -2.497059 6   0 M (0.00000000 1.00000000) *
##          31) texture_worst>=4.389974 197  31 M (0.15736041 0.84263959)  
##            62) compactness_se< -4.938351 3   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.938351 194  28 M (0.14432990 0.85567010)  
##             126) texture_worst>=4.650064 88  22 M (0.25000000 0.75000000) *
##             127) texture_worst< 4.650064 106   6 M (0.05660377 0.94339623) *
## 
## $trees[[95]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 411 M (0.45065789 0.54934211)  
##     2) smoothness_mean< -2.425205 187  72 B (0.61497326 0.38502674)  
##       4) smoothness_worst>=-1.590041 103  25 B (0.75728155 0.24271845)  
##         8) smoothness_mean>=-2.443746 27   0 B (1.00000000 0.00000000) *
##         9) smoothness_mean< -2.443746 76  25 B (0.67105263 0.32894737)  
##          18) symmetry_worst< -1.562003 70  19 B (0.72857143 0.27142857)  
##            36) smoothness_mean< -2.444322 66  15 B (0.77272727 0.22727273)  
##              72) smoothness_worst>=-1.576547 62  11 B (0.82258065 0.17741935) *
##              73) smoothness_worst< -1.576547 4   0 M (0.00000000 1.00000000) *
##            37) smoothness_mean>=-2.444322 4   0 M (0.00000000 1.00000000) *
##          19) symmetry_worst>=-1.562003 6   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.590041 84  37 M (0.44047619 0.55952381)  
##        10) texture_mean< 2.939162 18   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.939162 66  19 M (0.28787879 0.71212121)  
##          22) symmetry_worst< -1.8035 27  11 B (0.59259259 0.40740741)  
##            44) smoothness_mean>=-2.537771 18   2 B (0.88888889 0.11111111)  
##              88) texture_mean< 3.330945 16   0 B (1.00000000 0.00000000) *
##              89) texture_mean>=3.330945 2   0 M (0.00000000 1.00000000) *
##            45) smoothness_mean< -2.537771 9   0 M (0.00000000 1.00000000) *
##          23) symmetry_worst>=-1.8035 39   3 M (0.07692308 0.92307692)  
##            46) texture_worst>=4.929933 5   2 B (0.60000000 0.40000000)  
##              92) texture_mean< 3.296554 3   0 B (1.00000000 0.00000000) *
##              93) texture_mean>=3.296554 2   0 M (0.00000000 1.00000000) *
##            47) texture_worst< 4.929933 34   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.425205 725 296 M (0.40827586 0.59172414)  
##       6) symmetry_worst< -2.202388 47  13 B (0.72340426 0.27659574)  
##        12) smoothness_worst>=-1.59459 34   2 B (0.94117647 0.05882353)  
##          24) smoothness_mean< -2.266808 30   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean>=-2.266808 4   2 B (0.50000000 0.50000000)  
##            50) texture_mean< 3.016157 2   0 B (1.00000000 0.00000000) *
##            51) texture_mean>=3.016157 2   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst< -1.59459 13   2 M (0.15384615 0.84615385)  
##          26) symmetry_worst>=-2.49184 2   0 B (1.00000000 0.00000000) *
##          27) symmetry_worst< -2.49184 11   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-2.202388 678 262 M (0.38643068 0.61356932)  
##        14) smoothness_worst< -1.586874 23   0 B (1.00000000 0.00000000) *
##        15) smoothness_worst>=-1.586874 655 239 M (0.36488550 0.63511450)  
##          30) smoothness_mean>=-2.328057 378 172 M (0.45502646 0.54497354)  
##            60) texture_worst< 5.028224 345 172 M (0.49855072 0.50144928)  
##             120) symmetry_worst< -1.606092 216  80 B (0.62962963 0.37037037) *
##             121) symmetry_worst>=-1.606092 129  36 M (0.27906977 0.72093023) *
##            61) texture_worst>=5.028224 33   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean< -2.328057 277  67 M (0.24187726 0.75812274)  
##            62) texture_mean>=3.36829 13   2 B (0.84615385 0.15384615)  
##             124) texture_mean< 3.407548 11   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=3.407548 2   0 M (0.00000000 1.00000000) *
##            63) texture_mean< 3.36829 264  56 M (0.21212121 0.78787879)  
##             126) smoothness_worst>=-1.411086 5   0 B (1.00000000 0.00000000) *
##             127) smoothness_worst< -1.411086 259  51 M (0.19691120 0.80308880) *
## 
## $trees[[96]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 389 M (0.42653509 0.57346491)  
##    2) symmetry_worst< -1.072749 889 389 M (0.43757030 0.56242970)  
##      4) symmetry_worst>=-1.749963 371 176 B (0.52560647 0.47439353)  
##        8) symmetry_worst< -1.724518 39   1 B (0.97435897 0.02564103)  
##         16) texture_mean< 3.43551 38   0 B (1.00000000 0.00000000) *
##         17) texture_mean>=3.43551 1   0 M (0.00000000 1.00000000) *
##        9) symmetry_worst>=-1.724518 332 157 M (0.47289157 0.52710843)  
##         18) smoothness_worst>=-1.434633 56  16 B (0.71428571 0.28571429)  
##           36) texture_mean< 3.052311 51  11 B (0.78431373 0.21568627)  
##             72) texture_mean>=2.986641 29   1 B (0.96551724 0.03448276) *
##             73) texture_mean< 2.986641 22  10 B (0.54545455 0.45454545) *
##           37) texture_mean>=3.052311 5   0 M (0.00000000 1.00000000) *
##         19) smoothness_worst< -1.434633 276 117 M (0.42391304 0.57608696)  
##           38) smoothness_worst< -1.451541 238 114 M (0.47899160 0.52100840)  
##             76) texture_worst< 4.275049 23   2 B (0.91304348 0.08695652) *
##             77) texture_worst>=4.275049 215  93 M (0.43255814 0.56744186) *
##           39) smoothness_worst>=-1.451541 38   3 M (0.07894737 0.92105263)  
##             78) compactness_se< -4.28593 3   0 B (1.00000000 0.00000000) *
##             79) compactness_se>=-4.28593 35   0 M (0.00000000 1.00000000) *
##      5) symmetry_worst< -1.749963 518 194 M (0.37451737 0.62548263)  
##       10) compactness_se< -4.706178 11   0 B (1.00000000 0.00000000) *
##       11) compactness_se>=-4.706178 507 183 M (0.36094675 0.63905325)  
##         22) symmetry_worst< -1.785734 406 164 M (0.40394089 0.59605911)  
##           44) symmetry_worst>=-1.797319 15   0 B (1.00000000 0.00000000) *
##           45) symmetry_worst< -1.797319 391 149 M (0.38107417 0.61892583)  
##             90) compactness_se>=-4.49319 353 146 M (0.41359773 0.58640227) *
##             91) compactness_se< -4.49319 38   3 M (0.07894737 0.92105263) *
##         23) symmetry_worst>=-1.785734 101  19 M (0.18811881 0.81188119)  
##           46) smoothness_worst>=-1.385102 8   0 B (1.00000000 0.00000000) *
##           47) smoothness_worst< -1.385102 93  11 M (0.11827957 0.88172043)  
##             94) texture_worst< 4.422428 13   4 B (0.69230769 0.30769231) *
##             95) texture_worst>=4.422428 80   2 M (0.02500000 0.97500000) *
##    3) symmetry_worst>=-1.072749 23   0 M (0.00000000 1.00000000) *
## 
## $trees[[97]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 436 M (0.47807018 0.52192982)  
##    2) symmetry_worst< -1.001713 896 436 M (0.48660714 0.51339286)  
##      4) compactness_se< -4.706178 15   0 B (1.00000000 0.00000000) *
##      5) compactness_se>=-4.706178 881 421 M (0.47786606 0.52213394)  
##       10) symmetry_worst>=-1.668336 279 117 B (0.58064516 0.41935484)  
##         20) smoothness_mean< -2.17464 260  99 B (0.61923077 0.38076923)  
##           40) symmetry_worst< -1.64088 34   3 B (0.91176471 0.08823529)  
##             80) texture_mean< 3.067813 31   0 B (1.00000000 0.00000000) *
##             81) texture_mean>=3.067813 3   0 M (0.00000000 1.00000000) *
##           41) symmetry_worst>=-1.64088 226  96 B (0.57522124 0.42477876)  
##             82) symmetry_worst>=-1.638169 212  82 B (0.61320755 0.38679245) *
##             83) symmetry_worst< -1.638169 14   0 M (0.00000000 1.00000000) *
##         21) smoothness_mean>=-2.17464 19   1 M (0.05263158 0.94736842)  
##           42) texture_mean< 2.688296 1   0 B (1.00000000 0.00000000) *
##           43) texture_mean>=2.688296 18   0 M (0.00000000 1.00000000) *
##       11) symmetry_worst< -1.668336 602 259 M (0.43023256 0.56976744)  
##         22) smoothness_worst< -1.584838 84  29 B (0.65476190 0.34523810)  
##           44) compactness_se>=-4.51078 70  16 B (0.77142857 0.22857143)  
##             88) texture_mean< 3.157684 62  10 B (0.83870968 0.16129032) *
##             89) texture_mean>=3.157684 8   2 M (0.25000000 0.75000000) *
##           45) compactness_se< -4.51078 14   1 M (0.07142857 0.92857143)  
##             90) texture_mean< 2.871805 1   0 B (1.00000000 0.00000000) *
##             91) texture_mean>=2.871805 13   0 M (0.00000000 1.00000000) *
##         23) smoothness_worst>=-1.584838 518 204 M (0.39382239 0.60617761)  
##           46) smoothness_worst>=-1.570555 477 203 M (0.42557652 0.57442348)  
##             92) smoothness_worst< -1.55958 44  10 B (0.77272727 0.22727273) *
##             93) smoothness_worst>=-1.55958 433 169 M (0.39030023 0.60969977) *
##           47) smoothness_worst< -1.570555 41   1 M (0.02439024 0.97560976)  
##             94) texture_mean>=3.383004 1   0 B (1.00000000 0.00000000) *
##             95) texture_mean< 3.383004 40   0 M (0.00000000 1.00000000) *
##    3) symmetry_worst>=-1.001713 16   0 M (0.00000000 1.00000000) *
## 
## $trees[[98]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 435 B (0.52302632 0.47697368)  
##     2) symmetry_worst< -1.549706 755 331 B (0.56158940 0.43841060)  
##       4) texture_worst>=4.543638 478 180 B (0.62343096 0.37656904)  
##         8) smoothness_worst< -1.462628 365 117 B (0.67945205 0.32054795)  
##          16) smoothness_mean>=-2.351049 129  22 B (0.82945736 0.17054264)  
##            32) texture_worst< 4.911522 111   7 B (0.93693694 0.06306306)  
##              64) compactness_se< -3.291767 106   2 B (0.98113208 0.01886792) *
##              65) compactness_se>=-3.291767 5   0 M (0.00000000 1.00000000) *
##            33) texture_worst>=4.911522 18   3 M (0.16666667 0.83333333)  
##              66) symmetry_worst< -2.207988 4   1 B (0.75000000 0.25000000) *
##              67) symmetry_worst>=-2.207988 14   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean< -2.351049 236  95 B (0.59745763 0.40254237)  
##            34) smoothness_mean< -2.367605 219  78 B (0.64383562 0.35616438)  
##              68) symmetry_worst>=-1.750953 81  13 B (0.83950617 0.16049383) *
##              69) symmetry_worst< -1.750953 138  65 B (0.52898551 0.47101449) *
##            35) smoothness_mean>=-2.367605 17   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst>=-1.462628 113  50 M (0.44247788 0.55752212)  
##          18) texture_worst>=4.94309 26   4 B (0.84615385 0.15384615)  
##            36) symmetry_worst< -1.686744 22   0 B (1.00000000 0.00000000) *
##            37) symmetry_worst>=-1.686744 4   0 M (0.00000000 1.00000000) *
##          19) texture_worst< 4.94309 87  28 M (0.32183908 0.67816092)  
##            38) smoothness_mean< -2.322844 13   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean>=-2.322844 74  15 M (0.20270270 0.79729730)  
##              78) smoothness_mean>=-2.143877 8   0 B (1.00000000 0.00000000) *
##              79) smoothness_mean< -2.143877 66   7 M (0.10606061 0.89393939) *
##       5) texture_worst< 4.543638 277 126 M (0.45487365 0.54512635)  
##        10) symmetry_worst< -1.835199 95  30 B (0.68421053 0.31578947)  
##          20) symmetry_worst>=-1.930267 33   1 B (0.96969697 0.03030303)  
##            40) smoothness_worst< -1.442513 32   0 B (1.00000000 0.00000000) *
##            41) smoothness_worst>=-1.442513 1   0 M (0.00000000 1.00000000) *
##          21) symmetry_worst< -1.930267 62  29 B (0.53225806 0.46774194)  
##            42) texture_mean< 2.758426 11   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.758426 51  22 M (0.43137255 0.56862745)  
##              86) symmetry_worst< -1.959872 41  19 B (0.53658537 0.46341463) *
##              87) symmetry_worst>=-1.959872 10   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.835199 182  61 M (0.33516484 0.66483516)  
##          22) symmetry_worst>=-1.799371 141  60 M (0.42553191 0.57446809)  
##            44) texture_worst< 4.50835 99  41 B (0.58585859 0.41414141)  
##              88) texture_mean< 2.926111 73  18 B (0.75342466 0.24657534) *
##              89) texture_mean>=2.926111 26   3 M (0.11538462 0.88461538) *
##            45) texture_worst>=4.50835 42   2 M (0.04761905 0.95238095)  
##              90) smoothness_mean< -2.389015 2   0 B (1.00000000 0.00000000) *
##              91) smoothness_mean>=-2.389015 40   0 M (0.00000000 1.00000000) *
##          23) symmetry_worst< -1.799371 41   1 M (0.02439024 0.97560976)  
##            46) texture_mean< 2.697226 1   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.697226 40   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.549706 157  53 M (0.33757962 0.66242038)  
##       6) texture_mean< 2.777879 20   5 B (0.75000000 0.25000000)  
##        12) symmetry_worst< -1.195967 17   2 B (0.88235294 0.11764706)  
##          24) texture_mean>=2.518783 15   0 B (1.00000000 0.00000000) *
##          25) texture_mean< 2.518783 2   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-1.195967 3   0 M (0.00000000 1.00000000) *
##       7) texture_mean>=2.777879 137  38 M (0.27737226 0.72262774)  
##        14) compactness_se>=-3.074692 27  12 B (0.55555556 0.44444444)  
##          28) smoothness_mean< -2.236332 20   5 B (0.75000000 0.25000000)  
##            56) smoothness_worst>=-1.454202 13   0 B (1.00000000 0.00000000) *
##            57) smoothness_worst< -1.454202 7   2 M (0.28571429 0.71428571)  
##             114) smoothness_mean< -2.377576 2   0 B (1.00000000 0.00000000) *
##             115) smoothness_mean>=-2.377576 5   0 M (0.00000000 1.00000000) *
##          29) smoothness_mean>=-2.236332 7   0 M (0.00000000 1.00000000) *
##        15) compactness_se< -3.074692 110  23 M (0.20909091 0.79090909)  
##          30) texture_worst>=4.786713 35  14 M (0.40000000 0.60000000)  
##            60) texture_mean< 3.002443 8   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=3.002443 27   6 M (0.22222222 0.77777778)  
##             122) smoothness_mean>=-2.311841 8   3 B (0.62500000 0.37500000) *
##             123) smoothness_mean< -2.311841 19   1 M (0.05263158 0.94736842) *
##          31) texture_worst< 4.786713 75   9 M (0.12000000 0.88000000)  
##            62) smoothness_worst< -1.559585 15   7 M (0.46666667 0.53333333)  
##             124) texture_mean< 2.984348 7   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=2.984348 8   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst>=-1.559585 60   2 M (0.03333333 0.96666667)  
##             126) compactness_se>=-3.460958 11   2 M (0.18181818 0.81818182) *
##             127) compactness_se< -3.460958 49   0 M (0.00000000 1.00000000) *
## 
## $trees[[99]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 437 M (0.47916667 0.52083333)  
##     2) smoothness_worst< -1.443607 777 380 B (0.51093951 0.48906049)  
##       4) smoothness_worst>=-1.533657 410 168 B (0.59024390 0.40975610)  
##         8) compactness_se>=-3.904055 259  85 B (0.67181467 0.32818533)  
##          16) compactness_se< -3.673868 102  10 B (0.90196078 0.09803922)  
##            32) texture_worst>=4.224673 95   6 B (0.93684211 0.06315789)  
##              64) smoothness_worst< -1.455007 86   2 B (0.97674419 0.02325581) *
##              65) smoothness_worst>=-1.455007 9   4 B (0.55555556 0.44444444) *
##            33) texture_worst< 4.224673 7   3 M (0.42857143 0.57142857)  
##              66) texture_mean< 2.74492 3   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=2.74492 4   0 M (0.00000000 1.00000000) *
##          17) compactness_se>=-3.673868 157  75 B (0.52229299 0.47770701)  
##            34) compactness_se>=-3.601238 137  55 B (0.59854015 0.40145985)  
##              68) symmetry_worst< -2.063476 27   1 B (0.96296296 0.03703704) *
##              69) symmetry_worst>=-2.063476 110  54 B (0.50909091 0.49090909) *
##            35) compactness_se< -3.601238 20   0 M (0.00000000 1.00000000) *
##         9) compactness_se< -3.904055 151  68 M (0.45033113 0.54966887)  
##          18) compactness_se< -4.555012 23   2 B (0.91304348 0.08695652)  
##            36) symmetry_worst>=-1.862265 20   0 B (1.00000000 0.00000000) *
##            37) symmetry_worst< -1.862265 3   1 M (0.33333333 0.66666667)  
##              74) texture_mean< 3.007825 1   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=3.007825 2   0 M (0.00000000 1.00000000) *
##          19) compactness_se>=-4.555012 128  47 M (0.36718750 0.63281250)  
##            38) texture_mean< 2.99373 89  43 B (0.51685393 0.48314607)  
##              76) symmetry_worst< -1.786753 31   4 B (0.87096774 0.12903226) *
##              77) symmetry_worst>=-1.786753 58  19 M (0.32758621 0.67241379) *
##            39) texture_mean>=2.99373 39   1 M (0.02564103 0.97435897)  
##              78) smoothness_worst< -1.528414 1   0 B (1.00000000 0.00000000) *
##              79) smoothness_worst>=-1.528414 38   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.533657 367 155 M (0.42234332 0.57765668)  
##        10) compactness_se< -3.747518 201  96 B (0.52238806 0.47761194)  
##          20) compactness_se>=-4.098964 59   7 B (0.88135593 0.11864407)  
##            40) texture_worst< 5.269605 52   0 B (1.00000000 0.00000000) *
##            41) texture_worst>=5.269605 7   0 M (0.00000000 1.00000000) *
##          21) compactness_se< -4.098964 142  53 M (0.37323944 0.62676056)  
##            42) smoothness_worst< -1.555669 94  45 B (0.52127660 0.47872340)  
##              84) smoothness_worst>=-1.570555 17   0 B (1.00000000 0.00000000) *
##              85) smoothness_worst< -1.570555 77  32 M (0.41558442 0.58441558) *
##            43) smoothness_worst>=-1.555669 48   4 M (0.08333333 0.91666667)  
##              86) smoothness_mean< -2.469882 3   0 B (1.00000000 0.00000000) *
##              87) smoothness_mean>=-2.469882 45   1 M (0.02222222 0.97777778) *
##        11) compactness_se>=-3.747518 166  50 M (0.30120482 0.69879518)  
##          22) smoothness_worst< -1.611728 52  24 B (0.53846154 0.46153846)  
##            44) compactness_se>=-3.5866 35   8 B (0.77142857 0.22857143)  
##              88) compactness_se< -2.979429 23   0 B (1.00000000 0.00000000) *
##              89) compactness_se>=-2.979429 12   4 M (0.33333333 0.66666667) *
##            45) compactness_se< -3.5866 17   1 M (0.05882353 0.94117647)  
##              90) texture_mean>=3.054058 1   0 B (1.00000000 0.00000000) *
##              91) texture_mean< 3.054058 16   0 M (0.00000000 1.00000000) *
##          23) smoothness_worst>=-1.611728 114  22 M (0.19298246 0.80701754)  
##            46) smoothness_mean< -2.399592 55  18 M (0.32727273 0.67272727)  
##              92) smoothness_mean>=-2.419351 8   0 B (1.00000000 0.00000000) *
##              93) smoothness_mean< -2.419351 47  10 M (0.21276596 0.78723404) *
##            47) smoothness_mean>=-2.399592 59   4 M (0.06779661 0.93220339)  
##              94) symmetry_worst>=-1.574567 6   3 B (0.50000000 0.50000000) *
##              95) symmetry_worst< -1.574567 53   1 M (0.01886792 0.98113208) *
##     3) smoothness_worst>=-1.443607 135  40 M (0.29629630 0.70370370)  
##       6) compactness_se< -4.02632 31  10 B (0.67741935 0.32258065)  
##        12) texture_mean>=2.979048 22   2 B (0.90909091 0.09090909)  
##          24) texture_mean< 3.085766 21   1 B (0.95238095 0.04761905)  
##            48) smoothness_mean< -2.151736 20   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean>=-2.151736 1   0 M (0.00000000 1.00000000) *
##          25) texture_mean>=3.085766 1   0 M (0.00000000 1.00000000) *
##        13) texture_mean< 2.979048 9   1 M (0.11111111 0.88888889)  
##          26) texture_mean< 2.765628 1   0 B (1.00000000 0.00000000) *
##          27) texture_mean>=2.765628 8   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-4.02632 104  19 M (0.18269231 0.81730769)  
##        14) compactness_se>=-3.68868 37  16 M (0.43243243 0.56756757)  
##          28) smoothness_mean< -2.314128 5   0 B (1.00000000 0.00000000) *
##          29) smoothness_mean>=-2.314128 32  11 M (0.34375000 0.65625000)  
##            58) compactness_se< -3.311998 19   8 B (0.57894737 0.42105263)  
##             116) symmetry_worst>=-1.528411 8   1 B (0.87500000 0.12500000) *
##             117) symmetry_worst< -1.528411 11   4 M (0.36363636 0.63636364) *
##            59) compactness_se>=-3.311998 13   0 M (0.00000000 1.00000000) *
##        15) compactness_se< -3.68868 67   3 M (0.04477612 0.95522388)  
##          30) smoothness_worst>=-1.369782 1   0 B (1.00000000 0.00000000) *
##          31) smoothness_worst< -1.369782 66   2 M (0.03030303 0.96969697)  
##            62) smoothness_worst>=-1.38802 6   1 M (0.16666667 0.83333333)  
##             124) texture_mean< 2.894444 1   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=2.894444 5   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst< -1.38802 60   1 M (0.01666667 0.98333333)  
##             126) texture_mean< 2.970911 16   1 M (0.06250000 0.93750000) *
##             127) texture_mean>=2.970911 44   0 M (0.00000000 1.00000000) *
## 
## $trees[[100]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 404 M (0.44298246 0.55701754)  
##     2) compactness_se< -3.622718 545 260 B (0.52293578 0.47706422)  
##       4) texture_worst< 4.389172 80  14 B (0.82500000 0.17500000)  
##         8) texture_mean< 2.976803 77  11 B (0.85714286 0.14285714)  
##          16) texture_mean>=2.531355 76  10 B (0.86842105 0.13157895)  
##            32) texture_mean< 2.755881 27   0 B (1.00000000 0.00000000) *
##            33) texture_mean>=2.755881 49  10 B (0.79591837 0.20408163)  
##              66) texture_mean>=2.766607 45   6 B (0.86666667 0.13333333) *
##              67) texture_mean< 2.766607 4   0 M (0.00000000 1.00000000) *
##          17) texture_mean< 2.531355 1   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=2.976803 3   0 M (0.00000000 1.00000000) *
##       5) texture_worst>=4.389172 465 219 M (0.47096774 0.52903226)  
##        10) smoothness_mean< -2.426508 116  39 B (0.66379310 0.33620690)  
##          20) compactness_se>=-4.309155 49   5 B (0.89795918 0.10204082)  
##            40) symmetry_worst< -1.496954 45   2 B (0.95555556 0.04444444)  
##              80) texture_mean< 3.410351 44   1 B (0.97727273 0.02272727) *
##              81) texture_mean>=3.410351 1   0 M (0.00000000 1.00000000) *
##            41) symmetry_worst>=-1.496954 4   1 M (0.25000000 0.75000000)  
##              82) texture_mean< 2.947283 1   0 B (1.00000000 0.00000000) *
##              83) texture_mean>=2.947283 3   0 M (0.00000000 1.00000000) *
##          21) compactness_se< -4.309155 67  33 M (0.49253731 0.50746269)  
##            42) texture_mean>=3.17309 11   0 B (1.00000000 0.00000000) *
##            43) texture_mean< 3.17309 56  22 M (0.39285714 0.60714286)  
##              86) texture_worst< 4.812659 38  16 B (0.57894737 0.42105263) *
##              87) texture_worst>=4.812659 18   0 M (0.00000000 1.00000000) *
##        11) smoothness_mean>=-2.426508 349 142 M (0.40687679 0.59312321)  
##          22) smoothness_mean>=-2.38347 253 123 M (0.48616601 0.51383399)  
##            44) symmetry_worst< -1.61788 177  69 B (0.61016949 0.38983051)  
##              88) smoothness_worst< -1.417195 165  57 B (0.65454545 0.34545455) *
##              89) smoothness_worst>=-1.417195 12   0 M (0.00000000 1.00000000) *
##            45) symmetry_worst>=-1.61788 76  15 M (0.19736842 0.80263158)  
##              90) smoothness_worst< -1.490246 13   4 B (0.69230769 0.30769231) *
##              91) smoothness_worst>=-1.490246 63   6 M (0.09523810 0.90476190) *
##          23) smoothness_mean< -2.38347 96  19 M (0.19791667 0.80208333)  
##            46) texture_mean< 2.925543 9   0 B (1.00000000 0.00000000) *
##            47) texture_mean>=2.925543 87  10 M (0.11494253 0.88505747)  
##              94) texture_worst< 4.611234 22   9 M (0.40909091 0.59090909) *
##              95) texture_worst>=4.611234 65   1 M (0.01538462 0.98461538) *
##     3) compactness_se>=-3.622718 367 119 M (0.32425068 0.67574932)  
##       6) compactness_se>=-3.494301 287 110 M (0.38327526 0.61672474)  
##        12) compactness_se< -3.488718 15   0 B (1.00000000 0.00000000) *
##        13) compactness_se>=-3.488718 272  95 M (0.34926471 0.65073529)  
##          26) texture_mean< 3.071302 171  78 M (0.45614035 0.54385965)  
##            52) texture_worst>=4.62072 38   7 B (0.81578947 0.18421053)  
##             104) symmetry_worst< -1.643851 26   0 B (1.00000000 0.00000000) *
##             105) symmetry_worst>=-1.643851 12   5 M (0.41666667 0.58333333) *
##            53) texture_worst< 4.62072 133  47 M (0.35338346 0.64661654)  
##             106) compactness_se>=-2.721974 17   1 B (0.94117647 0.05882353) *
##             107) compactness_se< -2.721974 116  31 M (0.26724138 0.73275862) *
##          27) texture_mean>=3.071302 101  17 M (0.16831683 0.83168317)  
##            54) smoothness_mean>=-2.120284 5   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean< -2.120284 96  12 M (0.12500000 0.87500000)  
##             110) compactness_se>=-3.11604 34  10 M (0.29411765 0.70588235) *
##             111) compactness_se< -3.11604 62   2 M (0.03225806 0.96774194) *
##       7) compactness_se< -3.494301 80   9 M (0.11250000 0.88750000)  
##        14) texture_mean>=3.141874 6   0 B (1.00000000 0.00000000) *
##        15) texture_mean< 3.141874 74   3 M (0.04054054 0.95945946)  
##          30) texture_mean< 2.551902 1   0 B (1.00000000 0.00000000) *
##          31) texture_mean>=2.551902 73   2 M (0.02739726 0.97260274)  
##            62) symmetry_worst>=-1.468088 1   0 B (1.00000000 0.00000000) *
##            63) symmetry_worst< -1.468088 72   1 M (0.01388889 0.98611111)  
##             126) smoothness_mean< -2.380923 15   1 M (0.06666667 0.93333333) *
##             127) smoothness_mean>=-2.380923 57   0 M (0.00000000 1.00000000) *
## 
## $trees[[101]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 412 M (0.45175439 0.54824561)  
##     2) symmetry_worst>=-1.749963 390 174 B (0.55384615 0.44615385)  
##       4) symmetry_worst< -1.716495 45   3 B (0.93333333 0.06666667)  
##         8) compactness_se>=-4.528789 42   0 B (1.00000000 0.00000000) *
##         9) compactness_se< -4.528789 3   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.716495 345 171 B (0.50434783 0.49565217)  
##        10) texture_mean< 2.993981 200  74 B (0.63000000 0.37000000)  
##          20) smoothness_mean< -2.22055 173  54 B (0.68786127 0.31213873)  
##            40) symmetry_worst>=-1.692331 163  44 B (0.73006135 0.26993865)  
##              80) symmetry_worst< -1.641484 44   0 B (1.00000000 0.00000000) *
##              81) symmetry_worst>=-1.641484 119  44 B (0.63025210 0.36974790) *
##            41) symmetry_worst< -1.692331 10   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean>=-2.22055 27   7 M (0.25925926 0.74074074)  
##            42) texture_worst< 4.228128 9   3 B (0.66666667 0.33333333)  
##              84) texture_mean>=2.515298 6   0 B (1.00000000 0.00000000) *
##              85) texture_mean< 2.515298 3   0 M (0.00000000 1.00000000) *
##            43) texture_worst>=4.228128 18   1 M (0.05555556 0.94444444)  
##              86) compactness_se< -4.145429 1   0 B (1.00000000 0.00000000) *
##              87) compactness_se>=-4.145429 17   0 M (0.00000000 1.00000000) *
##        11) texture_mean>=2.993981 145  48 M (0.33103448 0.66896552)  
##          22) texture_worst< 5.003123 115  47 M (0.40869565 0.59130435)  
##            44) texture_worst>=4.918979 13   0 B (1.00000000 0.00000000) *
##            45) texture_worst< 4.918979 102  34 M (0.33333333 0.66666667)  
##              90) compactness_se< -3.446121 64  32 B (0.50000000 0.50000000) *
##              91) compactness_se>=-3.446121 38   2 M (0.05263158 0.94736842) *
##          23) texture_worst>=5.003123 30   1 M (0.03333333 0.96666667)  
##            46) compactness_se< -4.410182 5   1 M (0.20000000 0.80000000)  
##              92) texture_mean>=3.186756 1   0 B (1.00000000 0.00000000) *
##              93) texture_mean< 3.186756 4   0 M (0.00000000 1.00000000) *
##            47) compactness_se>=-4.410182 25   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst< -1.749963 522 196 M (0.37547893 0.62452107)  
##       6) symmetry_worst< -2.031981 140  62 B (0.55714286 0.44285714)  
##        12) symmetry_worst>=-2.384404 114  40 B (0.64912281 0.35087719)  
##          24) symmetry_worst< -2.232873 33   3 B (0.90909091 0.09090909)  
##            48) compactness_se< -3.333908 28   0 B (1.00000000 0.00000000) *
##            49) compactness_se>=-3.333908 5   2 M (0.40000000 0.60000000)  
##              98) texture_mean< 3.119511 2   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=3.119511 3   0 M (0.00000000 1.00000000) *
##          25) symmetry_worst>=-2.232873 81  37 B (0.54320988 0.45679012)  
##            50) smoothness_mean>=-2.334592 24   4 B (0.83333333 0.16666667)  
##             100) smoothness_worst< -1.44137 20   0 B (1.00000000 0.00000000) *
##             101) smoothness_worst>=-1.44137 4   0 M (0.00000000 1.00000000) *
##            51) smoothness_mean< -2.334592 57  24 M (0.42105263 0.57894737)  
##             102) smoothness_worst< -1.559798 29   7 B (0.75862069 0.24137931) *
##             103) smoothness_worst>=-1.559798 28   2 M (0.07142857 0.92857143) *
##        13) symmetry_worst< -2.384404 26   4 M (0.15384615 0.84615385)  
##          26) smoothness_mean< -2.383628 3   0 B (1.00000000 0.00000000) *
##          27) smoothness_mean>=-2.383628 23   1 M (0.04347826 0.95652174)  
##            54) texture_worst>=4.573991 4   1 M (0.25000000 0.75000000)  
##             108) texture_mean< 3.050671 1   0 B (1.00000000 0.00000000) *
##             109) texture_mean>=3.050671 3   0 M (0.00000000 1.00000000) *
##            55) texture_worst< 4.573991 19   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst>=-2.031981 382 118 M (0.30890052 0.69109948)  
##        14) smoothness_worst< -1.554587 86  42 B (0.51162791 0.48837209)  
##          28) smoothness_worst>=-1.570555 24   0 B (1.00000000 0.00000000) *
##          29) smoothness_worst< -1.570555 62  20 M (0.32258065 0.67741935)  
##            58) compactness_se>=-3.586422 14   2 B (0.85714286 0.14285714)  
##             116) texture_mean< 3.104498 12   0 B (1.00000000 0.00000000) *
##             117) texture_mean>=3.104498 2   0 M (0.00000000 1.00000000) *
##            59) compactness_se< -3.586422 48   8 M (0.16666667 0.83333333)  
##             118) smoothness_mean< -2.566967 4   0 B (1.00000000 0.00000000) *
##             119) smoothness_mean>=-2.566967 44   4 M (0.09090909 0.90909091) *
##        15) smoothness_worst>=-1.554587 296  74 M (0.25000000 0.75000000)  
##          30) texture_worst< 4.050785 8   0 B (1.00000000 0.00000000) *
##          31) texture_worst>=4.050785 288  66 M (0.22916667 0.77083333)  
##            62) smoothness_worst>=-1.381572 7   1 B (0.85714286 0.14285714)  
##             124) texture_mean>=3.021759 6   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 3.021759 1   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst< -1.381572 281  60 M (0.21352313 0.78647687)  
##             126) compactness_se>=-4.133653 203  56 M (0.27586207 0.72413793) *
##             127) compactness_se< -4.133653 78   4 M (0.05128205 0.94871795) *
## 
## $trees[[102]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 414 M (0.45394737 0.54605263)  
##     2) symmetry_worst< -1.815934 340 150 B (0.55882353 0.44117647)  
##       4) texture_worst< 4.897936 272  96 B (0.64705882 0.35294118)  
##         8) symmetry_worst>=-1.990832 142  25 B (0.82394366 0.17605634)  
##          16) texture_mean< 2.976803 98   7 B (0.92857143 0.07142857)  
##            32) texture_mean>=2.718324 87   2 B (0.97701149 0.02298851)  
##              64) texture_worst>=4.190306 79   0 B (1.00000000 0.00000000) *
##              65) texture_worst< 4.190306 8   2 B (0.75000000 0.25000000) *
##            33) texture_mean< 2.718324 11   5 B (0.54545455 0.45454545)  
##              66) texture_mean< 2.699568 6   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=2.699568 5   0 M (0.00000000 1.00000000) *
##          17) texture_mean>=2.976803 44  18 B (0.59090909 0.40909091)  
##            34) compactness_se>=-3.929882 33   8 B (0.75757576 0.24242424)  
##              68) symmetry_worst< -1.888082 22   0 B (1.00000000 0.00000000) *
##              69) symmetry_worst>=-1.888082 11   3 M (0.27272727 0.72727273) *
##            35) compactness_se< -3.929882 11   1 M (0.09090909 0.90909091)  
##              70) texture_mean>=3.129939 1   0 B (1.00000000 0.00000000) *
##              71) texture_mean< 3.129939 10   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst< -1.990832 130  59 M (0.45384615 0.54615385)  
##          18) smoothness_worst>=-1.477976 25   0 B (1.00000000 0.00000000) *
##          19) smoothness_worst< -1.477976 105  34 M (0.32380952 0.67619048)  
##            38) symmetry_worst< -2.049716 54  25 B (0.53703704 0.46296296)  
##              76) texture_mean< 3.076827 37  12 B (0.67567568 0.32432432) *
##              77) texture_mean>=3.076827 17   4 M (0.23529412 0.76470588) *
##            39) symmetry_worst>=-2.049716 51   5 M (0.09803922 0.90196078)  
##              78) texture_mean>=3.032546 3   0 B (1.00000000 0.00000000) *
##              79) texture_mean< 3.032546 48   2 M (0.04166667 0.95833333) *
##       5) texture_worst>=4.897936 68  14 M (0.20588235 0.79411765)  
##        10) symmetry_worst< -2.219322 13   5 B (0.61538462 0.38461538)  
##          20) compactness_se< -3.413706 8   0 B (1.00000000 0.00000000) *
##          21) compactness_se>=-3.413706 5   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-2.219322 55   6 M (0.10909091 0.89090909)  
##          22) smoothness_worst< -1.62752 3   0 B (1.00000000 0.00000000) *
##          23) smoothness_worst>=-1.62752 52   3 M (0.05769231 0.94230769)  
##            46) texture_mean>=3.352813 3   1 B (0.66666667 0.33333333)  
##              92) texture_mean< 3.431166 2   0 B (1.00000000 0.00000000) *
##              93) texture_mean>=3.431166 1   0 M (0.00000000 1.00000000) *
##            47) texture_mean< 3.352813 49   1 M (0.02040816 0.97959184)  
##              94) texture_mean>=3.33289 4   1 M (0.25000000 0.75000000) *
##              95) texture_mean< 3.33289 45   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst>=-1.815934 572 224 M (0.39160839 0.60839161)  
##       6) symmetry_worst>=-1.749307 434 192 M (0.44239631 0.55760369)  
##        12) symmetry_worst< -1.656669 97  27 B (0.72164948 0.27835052)  
##          24) texture_mean< 2.955415 46   3 B (0.93478261 0.06521739)  
##            48) smoothness_mean< -2.190074 42   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean>=-2.190074 4   1 M (0.25000000 0.75000000)  
##              98) texture_mean< 2.850534 1   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=2.850534 3   0 M (0.00000000 1.00000000) *
##          25) texture_mean>=2.955415 51  24 B (0.52941176 0.47058824)  
##            50) symmetry_worst< -1.716495 24   3 B (0.87500000 0.12500000)  
##             100) texture_mean< 3.407548 22   1 B (0.95454545 0.04545455) *
##             101) texture_mean>=3.407548 2   0 M (0.00000000 1.00000000) *
##            51) symmetry_worst>=-1.716495 27   6 M (0.22222222 0.77777778)  
##             102) symmetry_worst>=-1.681365 8   2 B (0.75000000 0.25000000) *
##             103) symmetry_worst< -1.681365 19   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-1.656669 337 122 M (0.36201780 0.63798220)  
##          26) texture_mean< 2.735974 16   2 B (0.87500000 0.12500000)  
##            52) compactness_se< -3.053461 14   0 B (1.00000000 0.00000000) *
##            53) compactness_se>=-3.053461 2   0 M (0.00000000 1.00000000) *
##          27) texture_mean>=2.735974 321 108 M (0.33644860 0.66355140)  
##            54) texture_mean>=3.21466 21   6 B (0.71428571 0.28571429)  
##             108) texture_mean< 3.257149 16   1 B (0.93750000 0.06250000) *
##             109) texture_mean>=3.257149 5   0 M (0.00000000 1.00000000) *
##            55) texture_mean< 3.21466 300  93 M (0.31000000 0.69000000)  
##             110) texture_worst< 4.860528 264  92 M (0.34848485 0.65151515) *
##             111) texture_worst>=4.860528 36   1 M (0.02777778 0.97222222) *
##       7) symmetry_worst< -1.749307 138  32 M (0.23188406 0.76811594)  
##        14) smoothness_mean>=-2.313605 40  19 B (0.52500000 0.47500000)  
##          28) texture_worst< 4.422428 14   0 B (1.00000000 0.00000000) *
##          29) texture_worst>=4.422428 26   7 M (0.26923077 0.73076923)  
##            58) texture_mean< 2.911316 4   0 B (1.00000000 0.00000000) *
##            59) texture_mean>=2.911316 22   3 M (0.13636364 0.86363636)  
##             118) texture_mean>=3.039503 3   0 B (1.00000000 0.00000000) *
##             119) texture_mean< 3.039503 19   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean< -2.313605 98  11 M (0.11224490 0.88775510)  
##          30) compactness_se< -4.493566 3   0 B (1.00000000 0.00000000) *
##          31) compactness_se>=-4.493566 95   8 M (0.08421053 0.91578947)  
##            62) smoothness_mean< -2.518446 2   0 B (1.00000000 0.00000000) *
##            63) smoothness_mean>=-2.518446 93   6 M (0.06451613 0.93548387)  
##             126) symmetry_worst< -1.789477 29   6 M (0.20689655 0.79310345) *
##             127) symmetry_worst>=-1.789477 64   0 M (0.00000000 1.00000000) *
## 
## $trees[[103]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 430 B (0.52850877 0.47149123)  
##    2) symmetry_worst>=-2.49184 892 410 B (0.54035874 0.45964126)  
##      4) texture_worst< 4.517889 287 101 B (0.64808362 0.35191638)  
##        8) smoothness_mean>=-2.354774 144  29 B (0.79861111 0.20138889)  
##         16) smoothness_mean< -2.302886 49   0 B (1.00000000 0.00000000) *
##         17) smoothness_mean>=-2.302886 95  29 B (0.69473684 0.30526316)  
##           34) smoothness_mean>=-2.267218 62   9 B (0.85483871 0.14516129)  
##             68) symmetry_worst< -1.072749 58   5 B (0.91379310 0.08620690) *
##             69) symmetry_worst>=-1.072749 4   0 M (0.00000000 1.00000000) *
##           35) smoothness_mean< -2.267218 33  13 M (0.39393939 0.60606061)  
##             70) texture_worst< 4.138116 8   0 B (1.00000000 0.00000000) *
##             71) texture_worst>=4.138116 25   5 M (0.20000000 0.80000000) *
##        9) smoothness_mean< -2.354774 143  71 M (0.49650350 0.50349650)  
##         18) smoothness_mean< -2.374141 119  48 B (0.59663866 0.40336134)  
##           36) smoothness_mean>=-2.411844 34   3 B (0.91176471 0.08823529)  
##             72) texture_mean< 2.97527 31   0 B (1.00000000 0.00000000) *
##             73) texture_mean>=2.97527 3   0 M (0.00000000 1.00000000) *
##           37) smoothness_mean< -2.411844 85  40 M (0.47058824 0.52941176)  
##             74) smoothness_worst>=-1.538946 25   6 B (0.76000000 0.24000000) *
##             75) smoothness_worst< -1.538946 60  21 M (0.35000000 0.65000000) *
##         19) smoothness_mean>=-2.374141 24   0 M (0.00000000 1.00000000) *
##      5) texture_worst>=4.517889 605 296 M (0.48925620 0.51074380)  
##       10) smoothness_mean< -2.3332 344 142 B (0.58720930 0.41279070)  
##         20) texture_mean>=2.853862 320 121 B (0.62187500 0.37812500)  
##           40) symmetry_worst< -1.343702 308 109 B (0.64610390 0.35389610)  
##             80) smoothness_mean>=-2.351049 47   4 B (0.91489362 0.08510638) *
##             81) smoothness_mean< -2.351049 261 105 B (0.59770115 0.40229885) *
##           41) symmetry_worst>=-1.343702 12   0 M (0.00000000 1.00000000) *
##         21) texture_mean< 2.853862 24   3 M (0.12500000 0.87500000)  
##           42) texture_mean< 2.846361 3   0 B (1.00000000 0.00000000) *
##           43) texture_mean>=2.846361 21   0 M (0.00000000 1.00000000) *
##       11) smoothness_mean>=-2.3332 261  94 M (0.36015326 0.63984674)  
##         22) compactness_se< -4.222363 28   4 B (0.85714286 0.14285714)  
##           44) smoothness_mean>=-2.305792 24   0 B (1.00000000 0.00000000) *
##           45) smoothness_mean< -2.305792 4   0 M (0.00000000 1.00000000) *
##         23) compactness_se>=-4.222363 233  70 M (0.30042918 0.69957082)  
##           46) symmetry_worst< -1.803493 67  33 B (0.50746269 0.49253731)  
##             92) texture_mean< 3.104804 38  10 B (0.73684211 0.26315789) *
##             93) texture_mean>=3.104804 29   6 M (0.20689655 0.79310345) *
##           47) symmetry_worst>=-1.803493 166  36 M (0.21686747 0.78313253)  
##             94) texture_mean>=2.986641 95  33 M (0.34736842 0.65263158) *
##             95) texture_mean< 2.986641 71   3 M (0.04225352 0.95774648) *
##    3) symmetry_worst< -2.49184 20   0 M (0.00000000 1.00000000) *
## 
## $trees[[104]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 448 B (0.50877193 0.49122807)  
##     2) compactness_se>=-2.924003 63  15 B (0.76190476 0.23809524)  
##       4) texture_mean< 3.083423 44   4 B (0.90909091 0.09090909)  
##         8) smoothness_mean< -2.291354 37   0 B (1.00000000 0.00000000) *
##         9) smoothness_mean>=-2.291354 7   3 M (0.42857143 0.57142857)  
##          18) symmetry_worst>=-1.170691 3   0 B (1.00000000 0.00000000) *
##          19) symmetry_worst< -1.170691 4   0 M (0.00000000 1.00000000) *
##       5) texture_mean>=3.083423 19   8 M (0.42105263 0.57894737)  
##        10) texture_mean>=3.223583 8   0 B (1.00000000 0.00000000) *
##        11) texture_mean< 3.223583 11   0 M (0.00000000 1.00000000) *
##     3) compactness_se< -2.924003 849 416 M (0.48998822 0.51001178)  
##       6) compactness_se< -3.011681 831 415 B (0.50060168 0.49939832)  
##        12) smoothness_worst< -1.603315 69  17 B (0.75362319 0.24637681)  
##          24) symmetry_worst< -1.777195 46   4 B (0.91304348 0.08695652)  
##            48) compactness_se>=-4.514873 34   0 B (1.00000000 0.00000000) *
##            49) compactness_se< -4.514873 12   4 B (0.66666667 0.33333333)  
##              98) compactness_se< -4.764686 8   0 B (1.00000000 0.00000000) *
##              99) compactness_se>=-4.764686 4   0 M (0.00000000 1.00000000) *
##          25) symmetry_worst>=-1.777195 23  10 M (0.43478261 0.56521739)  
##            50) texture_mean>=3.083898 8   0 B (1.00000000 0.00000000) *
##            51) texture_mean< 3.083898 15   2 M (0.13333333 0.86666667)  
##             102) texture_mean< 2.939162 2   0 B (1.00000000 0.00000000) *
##             103) texture_mean>=2.939162 13   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst>=-1.603315 762 364 M (0.47769029 0.52230971)  
##          26) smoothness_worst>=-1.59596 733 362 M (0.49386085 0.50613915)  
##            52) smoothness_mean>=-2.354774 378 160 B (0.57671958 0.42328042)  
##             104) texture_worst< 4.895983 322 113 B (0.64906832 0.35093168) *
##             105) texture_worst>=4.895983 56   9 M (0.16071429 0.83928571) *
##            53) smoothness_mean< -2.354774 355 144 M (0.40563380 0.59436620)  
##             106) smoothness_mean< -2.367284 303 142 M (0.46864686 0.53135314) *
##             107) smoothness_mean>=-2.367284 52   2 M (0.03846154 0.96153846) *
##          27) smoothness_worst< -1.59596 29   2 M (0.06896552 0.93103448)  
##            54) texture_mean< 2.755158 1   0 B (1.00000000 0.00000000) *
##            55) texture_mean>=2.755158 28   1 M (0.03571429 0.96428571)  
##             110) texture_mean< 2.85796 6   1 M (0.16666667 0.83333333) *
##             111) texture_mean>=2.85796 22   0 M (0.00000000 1.00000000) *
##       7) compactness_se>=-3.011681 18   0 M (0.00000000 1.00000000) *
## 
## $trees[[105]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 437 M (0.47916667 0.52083333)  
##    2) symmetry_worst< -1.293774 874 432 M (0.49427918 0.50572082)  
##      4) texture_worst< 4.517889 259 103 B (0.60231660 0.39768340)  
##        8) smoothness_worst< -1.473088 174  47 B (0.72988506 0.27011494)  
##         16) texture_worst>=4.3976 76   6 B (0.92105263 0.07894737)  
##           32) texture_mean< 2.982637 60   0 B (1.00000000 0.00000000) *
##           33) texture_mean>=2.982637 16   6 B (0.62500000 0.37500000)  
##             66) texture_mean>=3.029295 12   2 B (0.83333333 0.16666667) *
##             67) texture_mean< 3.029295 4   0 M (0.00000000 1.00000000) *
##         17) texture_worst< 4.3976 98  41 B (0.58163265 0.41836735)  
##           34) texture_mean>=2.89867 30   3 B (0.90000000 0.10000000)  
##             68) smoothness_mean>=-2.515683 29   2 B (0.93103448 0.06896552) *
##             69) smoothness_mean< -2.515683 1   0 M (0.00000000 1.00000000) *
##           35) texture_mean< 2.89867 68  30 M (0.44117647 0.55882353)  
##             70) texture_mean< 2.8622 50  20 B (0.60000000 0.40000000) *
##             71) texture_mean>=2.8622 18   0 M (0.00000000 1.00000000) *
##        9) smoothness_worst>=-1.473088 85  29 M (0.34117647 0.65882353)  
##         18) compactness_se< -4.086695 11   0 B (1.00000000 0.00000000) *
##         19) compactness_se>=-4.086695 74  18 M (0.24324324 0.75675676)  
##           38) symmetry_worst< -1.799399 15   6 B (0.60000000 0.40000000)  
##             76) compactness_se>=-3.688534 9   0 B (1.00000000 0.00000000) *
##             77) compactness_se< -3.688534 6   0 M (0.00000000 1.00000000) *
##           39) symmetry_worst>=-1.799399 59   9 M (0.15254237 0.84745763)  
##             78) symmetry_worst>=-1.395041 3   0 B (1.00000000 0.00000000) *
##             79) symmetry_worst< -1.395041 56   6 M (0.10714286 0.89285714) *
##      5) texture_worst>=4.517889 615 276 M (0.44878049 0.55121951)  
##       10) smoothness_worst>=-1.429075 81  26 B (0.67901235 0.32098765)  
##         20) compactness_se< -4.032549 33   1 B (0.96969697 0.03030303)  
##           40) texture_mean< 3.075523 32   0 B (1.00000000 0.00000000) *
##           41) texture_mean>=3.075523 1   0 M (0.00000000 1.00000000) *
##         21) compactness_se>=-4.032549 48  23 M (0.47916667 0.52083333)  
##           42) compactness_se>=-3.475452 28   7 B (0.75000000 0.25000000)  
##             84) smoothness_worst< -1.395608 15   0 B (1.00000000 0.00000000) *
##             85) smoothness_worst>=-1.395608 13   6 M (0.46153846 0.53846154) *
##           43) compactness_se< -3.475452 20   2 M (0.10000000 0.90000000)  
##             86) smoothness_worst< -1.417195 2   0 B (1.00000000 0.00000000) *
##             87) smoothness_worst>=-1.417195 18   0 M (0.00000000 1.00000000) *
##       11) smoothness_worst< -1.429075 534 221 M (0.41385768 0.58614232)  
##         22) symmetry_worst>=-1.490299 39   9 B (0.76923077 0.23076923)  
##           44) texture_worst< 4.742706 30   1 B (0.96666667 0.03333333)  
##             88) texture_mean>=2.899771 29   0 B (1.00000000 0.00000000) *
##             89) texture_mean< 2.899771 1   0 M (0.00000000 1.00000000) *
##           45) texture_worst>=4.742706 9   1 M (0.11111111 0.88888889)  
##             90) texture_mean>=3.225651 1   0 B (1.00000000 0.00000000) *
##             91) texture_mean< 3.225651 8   0 M (0.00000000 1.00000000) *
##         23) symmetry_worst< -1.490299 495 191 M (0.38585859 0.61414141)  
##           46) texture_mean>=3.337721 25   5 B (0.80000000 0.20000000)  
##             92) smoothness_worst>=-1.582589 21   1 B (0.95238095 0.04761905) *
##             93) smoothness_worst< -1.582589 4   0 M (0.00000000 1.00000000) *
##           47) texture_mean< 3.337721 470 171 M (0.36382979 0.63617021)  
##             94) smoothness_worst< -1.559798 117  53 B (0.54700855 0.45299145) *
##             95) smoothness_worst>=-1.559798 353 107 M (0.30311615 0.69688385) *
##    3) symmetry_worst>=-1.293774 38   5 M (0.13157895 0.86842105)  
##      6) smoothness_worst< -1.449464 17   5 M (0.29411765 0.70588235)  
##       12) compactness_se>=-3.948939 8   3 B (0.62500000 0.37500000)  
##         24) texture_worst>=4.082688 5   0 B (1.00000000 0.00000000) *
##         25) texture_worst< 4.082688 3   0 M (0.00000000 1.00000000) *
##       13) compactness_se< -3.948939 9   0 M (0.00000000 1.00000000) *
##      7) smoothness_worst>=-1.449464 21   0 M (0.00000000 1.00000000) *
## 
## $trees[[106]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 448 M (0.49122807 0.50877193)  
##     2) symmetry_worst>=-1.990832 693 325 B (0.53102453 0.46897547)  
##       4) texture_mean>=2.746628 644 287 B (0.55434783 0.44565217)  
##         8) compactness_se>=-4.676462 609 259 B (0.57471264 0.42528736)  
##          16) smoothness_mean< -2.333148 314 105 B (0.66560510 0.33439490)  
##            32) texture_mean< 2.976294 185  41 B (0.77837838 0.22162162)  
##              64) smoothness_mean>=-2.410171 87   2 B (0.97701149 0.02298851) *
##              65) smoothness_mean< -2.410171 98  39 B (0.60204082 0.39795918) *
##            33) texture_mean>=2.976294 129  64 B (0.50387597 0.49612403)  
##              66) texture_worst>=4.901515 42   8 B (0.80952381 0.19047619) *
##              67) texture_worst< 4.901515 87  31 M (0.35632184 0.64367816) *
##          17) smoothness_mean>=-2.333148 295 141 M (0.47796610 0.52203390)  
##            34) compactness_se< -4.222363 24   1 B (0.95833333 0.04166667)  
##              68) texture_mean< 3.041463 23   0 B (1.00000000 0.00000000) *
##              69) texture_mean>=3.041463 1   0 M (0.00000000 1.00000000) *
##            35) compactness_se>=-4.222363 271 118 M (0.43542435 0.56457565)  
##              70) smoothness_worst>=-1.476605 142  63 B (0.55633803 0.44366197) *
##              71) smoothness_worst< -1.476605 129  39 M (0.30232558 0.69767442) *
##         9) compactness_se< -4.676462 35   7 M (0.20000000 0.80000000)  
##          18) compactness_se< -4.721452 7   1 B (0.85714286 0.14285714)  
##            36) smoothness_worst>=-1.619004 6   0 B (1.00000000 0.00000000) *
##            37) smoothness_worst< -1.619004 1   0 M (0.00000000 1.00000000) *
##          19) compactness_se>=-4.721452 28   1 M (0.03571429 0.96428571)  
##            38) smoothness_mean>=-2.441817 1   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean< -2.441817 27   0 M (0.00000000 1.00000000) *
##       5) texture_mean< 2.746628 49  11 M (0.22448980 0.77551020)  
##        10) smoothness_mean< -2.392963 8   0 B (1.00000000 0.00000000) *
##        11) smoothness_mean>=-2.392963 41   3 M (0.07317073 0.92682927)  
##          22) texture_mean< 2.449364 2   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.449364 39   1 M (0.02564103 0.97435897)  
##            46) compactness_se< -4.006384 1   0 B (1.00000000 0.00000000) *
##            47) compactness_se>=-4.006384 38   0 M (0.00000000 1.00000000) *
##     3) symmetry_worst< -1.990832 219  80 M (0.36529680 0.63470320)  
##       6) compactness_se< -3.592137 133  63 M (0.47368421 0.52631579)  
##        12) smoothness_mean< -2.447438 17   0 B (1.00000000 0.00000000) *
##        13) smoothness_mean>=-2.447438 116  46 M (0.39655172 0.60344828)  
##          26) compactness_se>=-4.032373 52  19 B (0.63461538 0.36538462)  
##            52) texture_worst< 4.644362 18   0 B (1.00000000 0.00000000) *
##            53) texture_worst>=4.644362 34  15 M (0.44117647 0.55882353)  
##             106) symmetry_worst< -2.207988 12   0 B (1.00000000 0.00000000) *
##             107) symmetry_worst>=-2.207988 22   3 M (0.13636364 0.86363636) *
##          27) compactness_se< -4.032373 64  13 M (0.20312500 0.79687500)  
##            54) smoothness_mean>=-2.299708 5   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean< -2.299708 59   8 M (0.13559322 0.86440678)  
##             110) texture_mean< 2.846651 2   0 B (1.00000000 0.00000000) *
##             111) texture_mean>=2.846651 57   6 M (0.10526316 0.89473684) *
##       7) compactness_se>=-3.592137 86  17 M (0.19767442 0.80232558)  
##        14) symmetry_worst< -2.174839 30  15 B (0.50000000 0.50000000)  
##          28) symmetry_worst>=-2.218277 7   0 B (1.00000000 0.00000000) *
##          29) symmetry_worst< -2.218277 23   8 M (0.34782609 0.65217391)  
##            58) compactness_se>=-3.248462 4   0 B (1.00000000 0.00000000) *
##            59) compactness_se< -3.248462 19   4 M (0.21052632 0.78947368)  
##             118) texture_worst>=5.216315 4   0 B (1.00000000 0.00000000) *
##             119) texture_worst< 5.216315 15   0 M (0.00000000 1.00000000) *
##        15) symmetry_worst>=-2.174839 56   2 M (0.03571429 0.96428571)  
##          30) smoothness_mean< -2.661875 1   0 B (1.00000000 0.00000000) *
##          31) smoothness_mean>=-2.661875 55   1 M (0.01818182 0.98181818)  
##            62) compactness_se>=-2.626594 1   0 B (1.00000000 0.00000000) *
##            63) compactness_se< -2.626594 54   0 M (0.00000000 1.00000000) *
## 
## $trees[[107]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 412 B (0.54824561 0.45175439)  
##    2) smoothness_mean< -2.21595 815 344 B (0.57791411 0.42208589)  
##      4) smoothness_mean>=-2.235394 69  12 B (0.82608696 0.17391304)  
##        8) texture_worst< 4.85878 58   1 B (0.98275862 0.01724138)  
##         16) texture_mean< 3.093624 57   0 B (1.00000000 0.00000000) *
##         17) texture_mean>=3.093624 1   0 M (0.00000000 1.00000000) *
##        9) texture_worst>=4.85878 11   0 M (0.00000000 1.00000000) *
##      5) smoothness_mean< -2.235394 746 332 B (0.55495979 0.44504021)  
##       10) smoothness_mean< -2.242902 723 309 B (0.57261411 0.42738589)  
##         20) compactness_se>=-4.098353 499 187 B (0.62525050 0.37474950)  
##           40) smoothness_worst< -1.424105 473 165 B (0.65116279 0.34883721)  
##             80) smoothness_worst>=-1.565486 375 110 B (0.70666667 0.29333333) *
##             81) smoothness_worst< -1.565486 98  43 M (0.43877551 0.56122449) *
##           41) smoothness_worst>=-1.424105 26   4 M (0.15384615 0.84615385)  
##             82) smoothness_mean< -2.361754 4   0 B (1.00000000 0.00000000) *
##             83) smoothness_mean>=-2.361754 22   0 M (0.00000000 1.00000000) *
##         21) compactness_se< -4.098353 224 102 M (0.45535714 0.54464286)  
##           42) texture_worst< 4.278847 20   0 B (1.00000000 0.00000000) *
##           43) texture_worst>=4.278847 204  82 M (0.40196078 0.59803922)  
##             86) smoothness_mean>=-2.291157 10   0 B (1.00000000 0.00000000) *
##             87) smoothness_mean< -2.291157 194  72 M (0.37113402 0.62886598) *
##       11) smoothness_mean>=-2.242902 23   0 M (0.00000000 1.00000000) *
##    3) smoothness_mean>=-2.21595 97  29 M (0.29896907 0.70103093)  
##      6) symmetry_worst< -1.766269 37  17 B (0.54054054 0.45945946)  
##       12) texture_mean< 3.014897 15   0 B (1.00000000 0.00000000) *
##       13) texture_mean>=3.014897 22   5 M (0.22727273 0.77272727)  
##         26) smoothness_worst>=-1.445744 5   0 B (1.00000000 0.00000000) *
##         27) smoothness_worst< -1.445744 17   0 M (0.00000000 1.00000000) *
##      7) symmetry_worst>=-1.766269 60   9 M (0.15000000 0.85000000)  
##       14) texture_worst< 4.143945 11   4 B (0.63636364 0.36363636)  
##         28) texture_mean>=2.515298 7   0 B (1.00000000 0.00000000) *
##         29) texture_mean< 2.515298 4   0 M (0.00000000 1.00000000) *
##       15) texture_worst>=4.143945 49   2 M (0.04081633 0.95918367)  
##         30) texture_mean>=3.039982 9   2 M (0.22222222 0.77777778)  
##           60) texture_mean< 3.044522 2   0 B (1.00000000 0.00000000) *
##           61) texture_mean>=3.044522 7   0 M (0.00000000 1.00000000) *
##         31) texture_mean< 3.039982 40   0 M (0.00000000 1.00000000) *
## 
## $trees[[108]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 435 B (0.52302632 0.47697368)  
##     2) smoothness_mean< -2.425205 211  75 B (0.64454976 0.35545024)  
##       4) smoothness_mean>=-2.445878 58   8 B (0.86206897 0.13793103)  
##         8) symmetry_worst>=-1.98453 48   2 B (0.95833333 0.04166667)  
##          16) smoothness_worst>=-1.607486 46   0 B (1.00000000 0.00000000) *
##          17) smoothness_worst< -1.607486 2   0 M (0.00000000 1.00000000) *
##         9) symmetry_worst< -1.98453 10   4 M (0.40000000 0.60000000)  
##          18) smoothness_mean>=-2.439384 3   0 B (1.00000000 0.00000000) *
##          19) smoothness_mean< -2.439384 7   1 M (0.14285714 0.85714286)  
##            38) texture_mean>=3.241185 1   0 B (1.00000000 0.00000000) *
##            39) texture_mean< 3.241185 6   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean< -2.445878 153  67 B (0.56209150 0.43790850)  
##        10) texture_worst< 4.380271 24   2 B (0.91666667 0.08333333)  
##          20) symmetry_worst< -1.640476 20   0 B (1.00000000 0.00000000) *
##          21) symmetry_worst>=-1.640476 4   2 B (0.50000000 0.50000000)  
##            42) texture_mean< 2.901172 2   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.901172 2   0 M (0.00000000 1.00000000) *
##        11) texture_worst>=4.380271 129  64 M (0.49612403 0.50387597)  
##          22) compactness_se< -4.803674 9   0 B (1.00000000 0.00000000) *
##          23) compactness_se>=-4.803674 120  55 M (0.45833333 0.54166667)  
##            46) compactness_se>=-4.658767 101  47 B (0.53465347 0.46534653)  
##              92) compactness_se< -3.643388 51  15 B (0.70588235 0.29411765) *
##              93) compactness_se>=-3.643388 50  18 M (0.36000000 0.64000000) *
##            47) compactness_se< -4.658767 19   1 M (0.05263158 0.94736842)  
##              94) texture_mean>=3.184969 1   0 B (1.00000000 0.00000000) *
##              95) texture_mean< 3.184969 18   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.425205 701 341 M (0.48644793 0.51355207)  
##       6) compactness_se< -4.605333 13   0 B (1.00000000 0.00000000) *
##       7) compactness_se>=-4.605333 688 328 M (0.47674419 0.52325581)  
##        14) smoothness_mean>=-2.421763 655 324 M (0.49465649 0.50534351)  
##          28) symmetry_worst>=-1.556438 177  64 B (0.63841808 0.36158192)  
##            56) symmetry_worst< -1.36527 126  29 B (0.76984127 0.23015873)  
##             112) texture_mean< 2.956197 47   1 B (0.97872340 0.02127660) *
##             113) texture_mean>=2.956197 79  28 B (0.64556962 0.35443038) *
##            57) symmetry_worst>=-1.36527 51  16 M (0.31372549 0.68627451)  
##             114) smoothness_worst< -1.497484 14   3 B (0.78571429 0.21428571) *
##             115) smoothness_worst>=-1.497484 37   5 M (0.13513514 0.86486486) *
##          29) symmetry_worst< -1.556438 478 211 M (0.44142259 0.55857741)  
##            58) compactness_se>=-4.403208 456 211 M (0.46271930 0.53728070)  
##             116) smoothness_worst< -1.549191 60  15 B (0.75000000 0.25000000) *
##             117) smoothness_worst>=-1.549191 396 166 M (0.41919192 0.58080808) *
##            59) compactness_se< -4.403208 22   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean< -2.421763 33   4 M (0.12121212 0.87878788)  
##          30) texture_mean>=2.937566 11   4 M (0.36363636 0.63636364)  
##            60) texture_mean< 3.069566 4   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=3.069566 7   0 M (0.00000000 1.00000000) *
##          31) texture_mean< 2.937566 22   0 M (0.00000000 1.00000000) *
## 
## $trees[[109]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 428 B (0.53070175 0.46929825)  
##     2) smoothness_mean< -2.506908 44   1 B (0.97727273 0.02272727)  
##       4) smoothness_worst>=-1.720903 40   0 B (1.00000000 0.00000000) *
##       5) smoothness_worst< -1.720903 4   1 B (0.75000000 0.25000000)  
##        10) smoothness_mean< -2.637023 3   0 B (1.00000000 0.00000000) *
##        11) smoothness_mean>=-2.637023 1   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.506908 868 427 B (0.50806452 0.49193548)  
##       6) smoothness_worst< -1.451541 706 324 B (0.54107649 0.45892351)  
##        12) smoothness_worst>=-1.532606 421 162 B (0.61520190 0.38479810)  
##          24) texture_worst< 4.905415 348 115 B (0.66954023 0.33045977)  
##            48) smoothness_mean< -2.414471 39   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean>=-2.414471 309 115 B (0.62783172 0.37216828)  
##              98) smoothness_mean>=-2.275457 106  20 B (0.81132075 0.18867925) *
##              99) smoothness_mean< -2.275457 203  95 B (0.53201970 0.46798030) *
##          25) texture_worst>=4.905415 73  26 M (0.35616438 0.64383562)  
##            50) symmetry_worst< -2.219322 17   2 B (0.88235294 0.11764706)  
##             100) smoothness_mean< -2.317053 15   0 B (1.00000000 0.00000000) *
##             101) smoothness_mean>=-2.317053 2   0 M (0.00000000 1.00000000) *
##            51) symmetry_worst>=-2.219322 56  11 M (0.19642857 0.80357143)  
##             102) texture_mean< 2.938653 3   0 B (1.00000000 0.00000000) *
##             103) texture_mean>=2.938653 53   8 M (0.15094340 0.84905660) *
##        13) smoothness_worst< -1.532606 285 123 M (0.43157895 0.56842105)  
##          26) smoothness_worst< -1.558926 172  79 B (0.54069767 0.45930233)  
##            52) smoothness_worst>=-1.565486 29   2 B (0.93103448 0.06896552)  
##             104) smoothness_mean< -2.3007 28   1 B (0.96428571 0.03571429) *
##             105) smoothness_mean>=-2.3007 1   0 M (0.00000000 1.00000000) *
##            53) smoothness_worst< -1.565486 143  66 M (0.46153846 0.53846154)  
##             106) texture_mean>=2.945474 87  35 B (0.59770115 0.40229885) *
##             107) texture_mean< 2.945474 56  14 M (0.25000000 0.75000000) *
##          27) smoothness_worst>=-1.558926 113  30 M (0.26548673 0.73451327)  
##            54) texture_mean< 2.824054 14   4 B (0.71428571 0.28571429)  
##             108) texture_mean>=2.714689 9   0 B (1.00000000 0.00000000) *
##             109) texture_mean< 2.714689 5   1 M (0.20000000 0.80000000) *
##            55) texture_mean>=2.824054 99  20 M (0.20202020 0.79797980)  
##             110) compactness_se>=-3.962253 41  15 M (0.36585366 0.63414634) *
##             111) compactness_se< -3.962253 58   5 M (0.08620690 0.91379310) *
##       7) smoothness_worst>=-1.451541 162  59 M (0.36419753 0.63580247)  
##        14) texture_worst>=4.94309 24   2 B (0.91666667 0.08333333)  
##          28) texture_mean< 3.242184 22   0 B (1.00000000 0.00000000) *
##          29) texture_mean>=3.242184 2   0 M (0.00000000 1.00000000) *
##        15) texture_worst< 4.94309 138  37 M (0.26811594 0.73188406)  
##          30) symmetry_worst< -1.45531 89  34 M (0.38202247 0.61797753)  
##            60) texture_worst< 4.874946 70  34 M (0.48571429 0.51428571)  
##             120) symmetry_worst< -1.86735 11   0 B (1.00000000 0.00000000) *
##             121) symmetry_worst>=-1.86735 59  23 M (0.38983051 0.61016949) *
##            61) texture_worst>=4.874946 19   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-1.45531 49   3 M (0.06122449 0.93877551)  
##            62) texture_mean< 2.692775 1   0 B (1.00000000 0.00000000) *
##            63) texture_mean>=2.692775 48   2 M (0.04166667 0.95833333)  
##             126) compactness_se< -4.187745 1   0 B (1.00000000 0.00000000) *
##             127) compactness_se>=-4.187745 47   1 M (0.02127660 0.97872340) *
## 
## $trees[[110]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 442 B (0.51535088 0.48464912)  
##     2) compactness_se< -3.721197 500 209 B (0.58200000 0.41800000)  
##       4) symmetry_worst< -1.472622 450 171 B (0.62000000 0.38000000)  
##         8) smoothness_mean>=-2.294121 118  22 B (0.81355932 0.18644068)  
##          16) texture_worst< 5.040422 109  13 B (0.88073394 0.11926606)  
##            32) smoothness_worst< -1.415163 102   7 B (0.93137255 0.06862745)  
##              64) smoothness_mean< -2.089616 100   5 B (0.95000000 0.05000000) *
##              65) smoothness_mean>=-2.089616 2   0 M (0.00000000 1.00000000) *
##            33) smoothness_worst>=-1.415163 7   1 M (0.14285714 0.85714286)  
##              66) texture_mean< 2.908398 1   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=2.908398 6   0 M (0.00000000 1.00000000) *
##          17) texture_worst>=5.040422 9   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.294121 332 149 B (0.55120482 0.44879518)  
##          18) compactness_se>=-3.869459 41   2 B (0.95121951 0.04878049)  
##            36) texture_worst>=4.523279 36   0 B (1.00000000 0.00000000) *
##            37) texture_worst< 4.523279 5   2 B (0.60000000 0.40000000)  
##              74) texture_mean< 2.976548 3   0 B (1.00000000 0.00000000) *
##              75) texture_mean>=2.976548 2   0 M (0.00000000 1.00000000) *
##          19) compactness_se< -3.869459 291 144 M (0.49484536 0.50515464)  
##            38) smoothness_mean< -2.335108 222  95 B (0.57207207 0.42792793)  
##              76) compactness_se>=-4.328331 127  36 B (0.71653543 0.28346457) *
##              77) compactness_se< -4.328331 95  36 M (0.37894737 0.62105263) *
##            39) smoothness_mean>=-2.335108 69  17 M (0.24637681 0.75362319)  
##              78) compactness_se< -3.950529 32  15 B (0.53125000 0.46875000) *
##              79) compactness_se>=-3.950529 37   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.472622 50  12 M (0.24000000 0.76000000)  
##        10) texture_mean< 2.799919 6   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.799919 44   6 M (0.13636364 0.86363636)  
##          22) smoothness_mean< -2.425324 4   1 B (0.75000000 0.25000000)  
##            44) texture_mean< 2.973222 3   0 B (1.00000000 0.00000000) *
##            45) texture_mean>=2.973222 1   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean>=-2.425324 40   3 M (0.07500000 0.92500000)  
##            46) texture_mean>=3.217018 2   0 B (1.00000000 0.00000000) *
##            47) texture_mean< 3.217018 38   1 M (0.02631579 0.97368421)  
##              94) smoothness_mean>=-2.240603 2   1 B (0.50000000 0.50000000) *
##              95) smoothness_mean< -2.240603 36   0 M (0.00000000 1.00000000) *
##     3) compactness_se>=-3.721197 412 179 M (0.43446602 0.56553398)  
##       6) smoothness_worst>=-1.415354 55  16 B (0.70909091 0.29090909)  
##        12) smoothness_worst< -1.395608 27   1 B (0.96296296 0.03703704)  
##          24) texture_mean>=2.685007 26   0 B (1.00000000 0.00000000) *
##          25) texture_mean< 2.685007 1   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst>=-1.395608 28  13 M (0.46428571 0.53571429)  
##          26) symmetry_worst< -1.596878 13   3 B (0.76923077 0.23076923)  
##            52) smoothness_mean>=-2.191874 10   0 B (1.00000000 0.00000000) *
##            53) smoothness_mean< -2.191874 3   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst>=-1.596878 15   3 M (0.20000000 0.80000000)  
##            54) texture_mean< 2.688296 3   0 B (1.00000000 0.00000000) *
##            55) texture_mean>=2.688296 12   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst< -1.415354 357 140 M (0.39215686 0.60784314)  
##        14) smoothness_mean< -2.423737 97  38 B (0.60824742 0.39175258)  
##          28) texture_mean< 3.049609 52   8 B (0.84615385 0.15384615)  
##            56) compactness_se>=-3.468497 40   0 B (1.00000000 0.00000000) *
##            57) compactness_se< -3.468497 12   4 M (0.33333333 0.66666667)  
##             114) texture_mean< 2.707148 2   0 B (1.00000000 0.00000000) *
##             115) texture_mean>=2.707148 10   2 M (0.20000000 0.80000000) *
##          29) texture_mean>=3.049609 45  15 M (0.33333333 0.66666667)  
##            58) compactness_se< -3.519057 11   1 B (0.90909091 0.09090909)  
##             116) symmetry_worst< -1.447295 10   0 B (1.00000000 0.00000000) *
##             117) symmetry_worst>=-1.447295 1   0 M (0.00000000 1.00000000) *
##            59) compactness_se>=-3.519057 34   5 M (0.14705882 0.85294118)  
##             118) smoothness_mean< -2.638103 3   0 B (1.00000000 0.00000000) *
##             119) smoothness_mean>=-2.638103 31   2 M (0.06451613 0.93548387) *
##        15) smoothness_mean>=-2.423737 260  81 M (0.31153846 0.68846154)  
##          30) symmetry_worst< -2.174839 22   6 B (0.72727273 0.27272727)  
##            60) smoothness_mean< -2.272702 16   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean>=-2.272702 6   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-2.174839 238  65 M (0.27310924 0.72689076)  
##            62) symmetry_worst>=-1.608735 80  37 M (0.46250000 0.53750000)  
##             124) texture_mean< 2.96681 37  11 B (0.70270270 0.29729730) *
##             125) texture_mean>=2.96681 43  11 M (0.25581395 0.74418605) *
##            63) symmetry_worst< -1.608735 158  28 M (0.17721519 0.82278481)  
##             126) symmetry_worst< -1.876269 59  23 M (0.38983051 0.61016949) *
##             127) symmetry_worst>=-1.876269 99   5 M (0.05050505 0.94949495) *
## 
## $trees[[111]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 444 M (0.48684211 0.51315789)  
##     2) symmetry_worst< -1.541072 742 352 B (0.52560647 0.47439353)  
##       4) symmetry_worst>=-1.606972 71  16 B (0.77464789 0.22535211)  
##         8) smoothness_worst< -1.411018 65  10 B (0.84615385 0.15384615)  
##          16) compactness_se>=-4.176857 60   5 B (0.91666667 0.08333333)  
##            32) texture_mean< 3.258266 59   4 B (0.93220339 0.06779661)  
##              64) smoothness_worst>=-1.508375 41   0 B (1.00000000 0.00000000) *
##              65) smoothness_worst< -1.508375 18   4 B (0.77777778 0.22222222) *
##            33) texture_mean>=3.258266 1   0 M (0.00000000 1.00000000) *
##          17) compactness_se< -4.176857 5   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst>=-1.411018 6   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst< -1.606972 671 335 M (0.49925484 0.50074516)  
##        10) compactness_se< -4.704842 21   0 B (1.00000000 0.00000000) *
##        11) compactness_se>=-4.704842 650 314 M (0.48307692 0.51692308)  
##          22) texture_worst< 4.569492 287 123 B (0.57142857 0.42857143)  
##            44) texture_worst>=4.543638 40   0 B (1.00000000 0.00000000) *
##            45) texture_worst< 4.543638 247 123 B (0.50202429 0.49797571)  
##              90) texture_worst< 4.536474 230 106 B (0.53913043 0.46086957) *
##              91) texture_worst>=4.536474 17   0 M (0.00000000 1.00000000) *
##          23) texture_worst>=4.569492 363 150 M (0.41322314 0.58677686)  
##            46) symmetry_worst< -2.233349 29   4 B (0.86206897 0.13793103)  
##              92) compactness_se< -3.456755 25   0 B (1.00000000 0.00000000) *
##              93) compactness_se>=-3.456755 4   0 M (0.00000000 1.00000000) *
##            47) symmetry_worst>=-2.233349 334 125 M (0.37425150 0.62574850)  
##              94) texture_mean< 2.926894 26   3 B (0.88461538 0.11538462) *
##              95) texture_mean>=2.926894 308 102 M (0.33116883 0.66883117) *
##     3) symmetry_worst>=-1.541072 170  54 M (0.31764706 0.68235294)  
##       6) texture_worst>=4.729154 54  27 B (0.50000000 0.50000000)  
##        12) texture_worst< 4.86743 35  10 B (0.71428571 0.28571429)  
##          24) smoothness_mean< -2.268827 30   5 B (0.83333333 0.16666667)  
##            48) compactness_se>=-4.238323 28   3 B (0.89285714 0.10714286)  
##              96) symmetry_worst< -0.9904278 26   1 B (0.96153846 0.03846154) *
##              97) symmetry_worst>=-0.9904278 2   0 M (0.00000000 1.00000000) *
##            49) compactness_se< -4.238323 2   0 M (0.00000000 1.00000000) *
##          25) smoothness_mean>=-2.268827 5   0 M (0.00000000 1.00000000) *
##        13) texture_worst>=4.86743 19   2 M (0.10526316 0.89473684)  
##          26) compactness_se< -4.410182 2   0 B (1.00000000 0.00000000) *
##          27) compactness_se>=-4.410182 17   0 M (0.00000000 1.00000000) *
##       7) texture_worst< 4.729154 116  27 M (0.23275862 0.76724138)  
##        14) compactness_se>=-2.588521 5   1 B (0.80000000 0.20000000)  
##          28) texture_mean< 2.929061 4   0 B (1.00000000 0.00000000) *
##          29) texture_mean>=2.929061 1   0 M (0.00000000 1.00000000) *
##        15) compactness_se< -2.588521 111  23 M (0.20720721 0.79279279)  
##          30) smoothness_worst>=-1.434633 8   3 B (0.62500000 0.37500000)  
##            60) compactness_se< -3.535355 5   0 B (1.00000000 0.00000000) *
##            61) compactness_se>=-3.535355 3   0 M (0.00000000 1.00000000) *
##          31) smoothness_worst< -1.434633 103  18 M (0.17475728 0.82524272)  
##            62) smoothness_worst< -1.472504 59  17 M (0.28813559 0.71186441)  
##             124) texture_mean< 2.99247 39  17 M (0.43589744 0.56410256) *
##             125) texture_mean>=2.99247 20   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst>=-1.472504 44   1 M (0.02272727 0.97727273)  
##             126) symmetry_worst>=-1.244631 2   1 B (0.50000000 0.50000000) *
##             127) symmetry_worst< -1.244631 42   0 M (0.00000000 1.00000000) *
## 
## $trees[[112]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 455 M (0.49890351 0.50109649)  
##     2) smoothness_mean< -2.413908 260  85 B (0.67307692 0.32692308)  
##       4) texture_worst< 4.961576 200  52 B (0.74000000 0.26000000)  
##         8) texture_worst>=4.621834 72   5 B (0.93055556 0.06944444)  
##          16) symmetry_worst< -1.362675 69   2 B (0.97101449 0.02898551)  
##            32) texture_mean< 3.070839 49   0 B (1.00000000 0.00000000) *
##            33) texture_mean>=3.070839 20   2 B (0.90000000 0.10000000)  
##              66) texture_mean>=3.076838 19   1 B (0.94736842 0.05263158) *
##              67) texture_mean< 3.076838 1   0 M (0.00000000 1.00000000) *
##          17) symmetry_worst>=-1.362675 3   0 M (0.00000000 1.00000000) *
##         9) texture_worst< 4.621834 128  47 B (0.63281250 0.36718750)  
##          18) symmetry_worst< -1.831783 68  13 B (0.80882353 0.19117647)  
##            36) symmetry_worst>=-2.040212 45   2 B (0.95555556 0.04444444)  
##              72) smoothness_mean< -2.419122 43   0 B (1.00000000 0.00000000) *
##              73) smoothness_mean>=-2.419122 2   0 M (0.00000000 1.00000000) *
##            37) symmetry_worst< -2.040212 23  11 B (0.52173913 0.47826087)  
##              74) compactness_se< -3.559123 11   0 B (1.00000000 0.00000000) *
##              75) compactness_se>=-3.559123 12   1 M (0.08333333 0.91666667) *
##          19) symmetry_worst>=-1.831783 60  26 M (0.43333333 0.56666667)  
##            38) compactness_se>=-3.556204 12   0 B (1.00000000 0.00000000) *
##            39) compactness_se< -3.556204 48  14 M (0.29166667 0.70833333)  
##              78) texture_mean< 2.919658 26  13 B (0.50000000 0.50000000) *
##              79) texture_mean>=2.919658 22   1 M (0.04545455 0.95454545) *
##       5) texture_worst>=4.961576 60  27 M (0.45000000 0.55000000)  
##        10) smoothness_worst< -1.623453 7   0 B (1.00000000 0.00000000) *
##        11) smoothness_worst>=-1.623453 53  20 M (0.37735849 0.62264151)  
##          22) smoothness_mean>=-2.439903 8   1 B (0.87500000 0.12500000)  
##            44) smoothness_mean< -2.425205 7   0 B (1.00000000 0.00000000) *
##            45) smoothness_mean>=-2.425205 1   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean< -2.439903 45  13 M (0.28888889 0.71111111)  
##            46) texture_mean>=3.23593 21  10 B (0.52380952 0.47619048)  
##              92) texture_mean< 3.388429 14   3 B (0.78571429 0.21428571) *
##              93) texture_mean>=3.388429 7   0 M (0.00000000 1.00000000) *
##            47) texture_mean< 3.23593 24   2 M (0.08333333 0.91666667)  
##              94) compactness_se< -4.899363 2   0 B (1.00000000 0.00000000) *
##              95) compactness_se>=-4.899363 22   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.413908 652 280 M (0.42944785 0.57055215)  
##       6) texture_worst>=4.751723 188  77 B (0.59042553 0.40957447)  
##        12) symmetry_worst< -2.207988 29   1 B (0.96551724 0.03448276)  
##          24) smoothness_mean< -2.282229 28   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean>=-2.282229 1   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-2.207988 159  76 B (0.52201258 0.47798742)  
##          26) symmetry_worst>=-1.925345 126  47 B (0.62698413 0.37301587)  
##            52) texture_worst< 4.895983 72  17 B (0.76388889 0.23611111)  
##             104) symmetry_worst< -1.724518 33   1 B (0.96969697 0.03030303) *
##             105) symmetry_worst>=-1.724518 39  16 B (0.58974359 0.41025641) *
##            53) texture_worst>=4.895983 54  24 M (0.44444444 0.55555556)  
##             106) texture_worst>=4.940521 42  18 B (0.57142857 0.42857143) *
##             107) texture_worst< 4.940521 12   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst< -1.925345 33   4 M (0.12121212 0.87878788)  
##            54) texture_worst< 4.789775 4   0 B (1.00000000 0.00000000) *
##            55) texture_worst>=4.789775 29   0 M (0.00000000 1.00000000) *
##       7) texture_worst< 4.751723 464 169 M (0.36422414 0.63577586)  
##        14) texture_worst< 4.681966 425 167 M (0.39294118 0.60705882)  
##          28) texture_worst>=4.667341 29   5 B (0.82758621 0.17241379)  
##            56) smoothness_mean>=-2.379583 24   0 B (1.00000000 0.00000000) *
##            57) smoothness_mean< -2.379583 5   0 M (0.00000000 1.00000000) *
##          29) texture_worst< 4.667341 396 143 M (0.36111111 0.63888889)  
##            58) smoothness_worst< -1.482898 217  96 M (0.44239631 0.55760369)  
##             116) symmetry_worst>=-1.692331 64  17 B (0.73437500 0.26562500) *
##             117) symmetry_worst< -1.692331 153  49 M (0.32026144 0.67973856) *
##            59) smoothness_worst>=-1.482898 179  47 M (0.26256983 0.73743017)  
##             118) compactness_se< -4.224437 10   0 B (1.00000000 0.00000000) *
##             119) compactness_se>=-4.224437 169  37 M (0.21893491 0.78106509) *
##        15) texture_worst>=4.681966 39   2 M (0.05128205 0.94871795)  
##          30) texture_mean< 2.874653 2   0 B (1.00000000 0.00000000) *
##          31) texture_mean>=2.874653 37   0 M (0.00000000 1.00000000) *
## 
## $trees[[113]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 416 B (0.54385965 0.45614035)  
##     2) symmetry_worst< -1.641484 604 243 B (0.59768212 0.40231788)  
##       4) smoothness_worst>=-1.539792 366 120 B (0.67213115 0.32786885)  
##         8) smoothness_worst< -1.510826 120  19 B (0.84166667 0.15833333)  
##          16) texture_mean< 3.2869 116  15 B (0.87068966 0.12931034)  
##            32) texture_mean>=2.90057 96   7 B (0.92708333 0.07291667)  
##              64) texture_mean< 3.072425 73   0 B (1.00000000 0.00000000) *
##              65) texture_mean>=3.072425 23   7 B (0.69565217 0.30434783) *
##            33) texture_mean< 2.90057 20   8 B (0.60000000 0.40000000)  
##              66) texture_mean< 2.891759 12   0 B (1.00000000 0.00000000) *
##              67) texture_mean>=2.891759 8   0 M (0.00000000 1.00000000) *
##          17) texture_mean>=3.2869 4   0 M (0.00000000 1.00000000) *
##         9) smoothness_worst>=-1.510826 246 101 B (0.58943089 0.41056911)  
##          18) texture_mean< 2.929857 106  25 B (0.76415094 0.23584906)  
##            36) smoothness_worst>=-1.480334 65   3 B (0.95384615 0.04615385)  
##              72) smoothness_worst< -1.431144 60   0 B (1.00000000 0.00000000) *
##              73) smoothness_worst>=-1.431144 5   2 M (0.40000000 0.60000000) *
##            37) smoothness_worst< -1.480334 41  19 M (0.46341463 0.53658537)  
##              74) smoothness_worst< -1.482701 27   8 B (0.70370370 0.29629630) *
##              75) smoothness_worst>=-1.482701 14   0 M (0.00000000 1.00000000) *
##          19) texture_mean>=2.929857 140  64 M (0.45714286 0.54285714)  
##            38) smoothness_mean< -2.403622 21   3 B (0.85714286 0.14285714)  
##              76) smoothness_mean>=-2.460046 19   1 B (0.94736842 0.05263158) *
##              77) smoothness_mean< -2.460046 2   0 M (0.00000000 1.00000000) *
##            39) smoothness_mean>=-2.403622 119  46 M (0.38655462 0.61344538)  
##              78) smoothness_worst>=-1.484675 92  46 B (0.50000000 0.50000000) *
##              79) smoothness_worst< -1.484675 27   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.539792 238 115 M (0.48319328 0.51680672)  
##        10) smoothness_worst< -1.584838 113  37 B (0.67256637 0.32743363)  
##          20) symmetry_worst>=-2.242382 89  17 B (0.80898876 0.19101124)  
##            40) smoothness_worst>=-1.709736 86  14 B (0.83720930 0.16279070)  
##              80) texture_mean>=2.973951 49   3 B (0.93877551 0.06122449) *
##              81) texture_mean< 2.973951 37  11 B (0.70270270 0.29729730) *
##            41) smoothness_worst< -1.709736 3   0 M (0.00000000 1.00000000) *
##          21) symmetry_worst< -2.242382 24   4 M (0.16666667 0.83333333)  
##            42) texture_worst< 4.368864 7   3 B (0.57142857 0.42857143)  
##              84) texture_mean< 2.914792 4   0 B (1.00000000 0.00000000) *
##              85) texture_mean>=2.914792 3   0 M (0.00000000 1.00000000) *
##            43) texture_worst>=4.368864 17   0 M (0.00000000 1.00000000) *
##        11) smoothness_worst>=-1.584838 125  39 M (0.31200000 0.68800000)  
##          22) symmetry_worst< -2.201537 10   1 B (0.90000000 0.10000000)  
##            44) smoothness_mean>=-2.431699 9   0 B (1.00000000 0.00000000) *
##            45) smoothness_mean< -2.431699 1   0 M (0.00000000 1.00000000) *
##          23) symmetry_worst>=-2.201537 115  30 M (0.26086957 0.73913043)  
##            46) smoothness_mean< -2.470355 11   2 B (0.81818182 0.18181818)  
##              92) smoothness_worst>=-1.572781 9   0 B (1.00000000 0.00000000) *
##              93) smoothness_worst< -1.572781 2   0 M (0.00000000 1.00000000) *
##            47) smoothness_mean>=-2.470355 104  21 M (0.20192308 0.79807692)  
##              94) symmetry_worst>=-1.698675 4   0 B (1.00000000 0.00000000) *
##              95) symmetry_worst< -1.698675 100  17 M (0.17000000 0.83000000) *
##     3) symmetry_worst>=-1.641484 308 135 M (0.43831169 0.56168831)  
##       6) symmetry_worst>=-1.634569 281 135 M (0.48042705 0.51957295)  
##        12) texture_mean< 2.777879 33   5 B (0.84848485 0.15151515)  
##          24) symmetry_worst< -1.195967 28   0 B (1.00000000 0.00000000) *
##          25) symmetry_worst>=-1.195967 5   0 M (0.00000000 1.00000000) *
##        13) texture_mean>=2.777879 248 107 M (0.43145161 0.56854839)  
##          26) smoothness_worst< -1.496036 119  49 B (0.58823529 0.41176471)  
##            52) texture_mean< 3.00667 58   6 B (0.89655172 0.10344828)  
##             104) smoothness_worst>=-1.595067 55   3 B (0.94545455 0.05454545) *
##             105) smoothness_worst< -1.595067 3   0 M (0.00000000 1.00000000) *
##            53) texture_mean>=3.00667 61  18 M (0.29508197 0.70491803)  
##             106) texture_worst>=4.753106 29  12 B (0.58620690 0.41379310) *
##             107) texture_worst< 4.753106 32   1 M (0.03125000 0.96875000) *
##          27) smoothness_worst>=-1.496036 129  37 M (0.28682171 0.71317829)  
##            54) symmetry_worst< -1.424186 81  33 M (0.40740741 0.59259259)  
##             108) smoothness_mean< -2.333927 10   0 B (1.00000000 0.00000000) *
##             109) smoothness_mean>=-2.333927 71  23 M (0.32394366 0.67605634) *
##            55) symmetry_worst>=-1.424186 48   4 M (0.08333333 0.91666667)  
##             110) compactness_se>=-2.646661 3   0 B (1.00000000 0.00000000) *
##             111) compactness_se< -2.646661 45   1 M (0.02222222 0.97777778) *
##       7) symmetry_worst< -1.634569 27   0 M (0.00000000 1.00000000) *
## 
## $trees[[114]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 430 M (0.47149123 0.52850877)  
##     2) symmetry_worst< -1.785734 413 180 B (0.56416465 0.43583535)  
##       4) symmetry_worst>=-1.925345 225  72 B (0.68000000 0.32000000)  
##         8) texture_mean>=2.718324 209  58 B (0.72248804 0.27751196)  
##          16) smoothness_worst< -1.469982 170  36 B (0.78823529 0.21176471)  
##            32) compactness_se>=-4.327955 142  20 B (0.85915493 0.14084507)  
##              64) texture_mean< 3.076148 93   2 B (0.97849462 0.02150538) *
##              65) texture_mean>=3.076148 49  18 B (0.63265306 0.36734694) *
##            33) compactness_se< -4.327955 28  12 M (0.42857143 0.57142857)  
##              66) texture_mean>=2.992821 10   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 2.992821 18   2 M (0.11111111 0.88888889) *
##          17) smoothness_worst>=-1.469982 39  17 M (0.43589744 0.56410256)  
##            34) smoothness_mean< -2.405579 9   0 B (1.00000000 0.00000000) *
##            35) smoothness_mean>=-2.405579 30   8 M (0.26666667 0.73333333)  
##              70) smoothness_mean>=-2.223945 10   2 B (0.80000000 0.20000000) *
##              71) smoothness_mean< -2.223945 20   0 M (0.00000000 1.00000000) *
##         9) texture_mean< 2.718324 16   2 M (0.12500000 0.87500000)  
##          18) texture_mean< 2.679131 2   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.679131 14   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst< -1.925345 188  80 M (0.42553191 0.57446809)  
##        10) symmetry_worst< -2.048468 88  35 B (0.60227273 0.39772727)  
##          20) smoothness_mean< -2.395316 23   3 B (0.86956522 0.13043478)  
##            40) compactness_se< -3.004445 21   1 B (0.95238095 0.04761905)  
##              80) texture_mean< 3.330945 19   0 B (1.00000000 0.00000000) *
##              81) texture_mean>=3.330945 2   1 B (0.50000000 0.50000000) *
##            41) compactness_se>=-3.004445 2   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean>=-2.395316 65  32 B (0.50769231 0.49230769)  
##            42) symmetry_worst>=-2.294897 48  17 B (0.64583333 0.35416667)  
##              84) smoothness_mean>=-2.352488 32   3 B (0.90625000 0.09375000) *
##              85) smoothness_mean< -2.352488 16   2 M (0.12500000 0.87500000) *
##            43) symmetry_worst< -2.294897 17   2 M (0.11764706 0.88235294)  
##              86) texture_mean< 2.827797 1   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.827797 16   1 M (0.06250000 0.93750000) *
##        11) symmetry_worst>=-2.048468 100  27 M (0.27000000 0.73000000)  
##          22) texture_mean< 2.755881 9   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.755881 91  18 M (0.19780220 0.80219780)  
##            46) compactness_se< -4.50262 5   0 B (1.00000000 0.00000000) *
##            47) compactness_se>=-4.50262 86  13 M (0.15116279 0.84883721)  
##              94) smoothness_mean< -2.444322 7   2 B (0.71428571 0.28571429) *
##              95) smoothness_mean>=-2.444322 79   8 M (0.10126582 0.89873418) *
##     3) symmetry_worst>=-1.785734 499 197 M (0.39478958 0.60521042)  
##       6) symmetry_worst>=-1.749963 392 178 M (0.45408163 0.54591837)  
##        12) texture_mean< 2.955938 175  70 B (0.60000000 0.40000000)  
##          24) symmetry_worst< -1.641484 45   2 B (0.95555556 0.04444444)  
##            48) smoothness_mean< -2.190074 41   0 B (1.00000000 0.00000000) *
##            49) smoothness_mean>=-2.190074 4   2 B (0.50000000 0.50000000)  
##              98) texture_mean< 2.850534 2   0 B (1.00000000 0.00000000) *
##              99) texture_mean>=2.850534 2   0 M (0.00000000 1.00000000) *
##          25) symmetry_worst>=-1.641484 130  62 M (0.47692308 0.52307692)  
##            50) texture_mean>=2.922355 16   1 B (0.93750000 0.06250000)  
##             100) smoothness_mean< -2.197227 15   0 B (1.00000000 0.00000000) *
##             101) smoothness_mean>=-2.197227 1   0 M (0.00000000 1.00000000) *
##            51) texture_mean< 2.922355 114  47 M (0.41228070 0.58771930)  
##             102) smoothness_mean>=-2.275457 56  22 B (0.60714286 0.39285714) *
##             103) smoothness_mean< -2.275457 58  13 M (0.22413793 0.77586207) *
##        13) texture_mean>=2.955938 217  73 M (0.33640553 0.66359447)  
##          26) texture_mean>=2.987952 179  71 M (0.39664804 0.60335196)  
##            52) symmetry_worst< -1.529476 122  61 B (0.50000000 0.50000000)  
##             104) compactness_se< -3.446121 91  37 B (0.59340659 0.40659341) *
##             105) compactness_se>=-3.446121 31   7 M (0.22580645 0.77419355) *
##            53) symmetry_worst>=-1.529476 57  10 M (0.17543860 0.82456140)  
##             106) texture_mean< 2.99247 3   0 B (1.00000000 0.00000000) *
##             107) texture_mean>=2.99247 54   7 M (0.12962963 0.87037037) *
##          27) texture_mean< 2.987952 38   2 M (0.05263158 0.94736842)  
##            54) compactness_se< -4.291103 9   2 M (0.22222222 0.77777778)  
##             108) texture_mean< 2.974761 2   0 B (1.00000000 0.00000000) *
##             109) texture_mean>=2.974761 7   0 M (0.00000000 1.00000000) *
##            55) compactness_se>=-4.291103 29   0 M (0.00000000 1.00000000) *
##       7) symmetry_worst< -1.749963 107  19 M (0.17757009 0.82242991)  
##        14) smoothness_worst>=-1.385102 6   0 B (1.00000000 0.00000000) *
##        15) smoothness_worst< -1.385102 101  13 M (0.12871287 0.87128713)  
##          30) texture_worst< 4.422428 21  10 M (0.47619048 0.52380952)  
##            60) smoothness_mean>=-2.395742 10   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean< -2.395742 11   0 M (0.00000000 1.00000000) *
##          31) texture_worst>=4.422428 80   3 M (0.03750000 0.96250000)  
##            62) smoothness_mean< -2.518446 3   0 B (1.00000000 0.00000000) *
##            63) smoothness_mean>=-2.518446 77   0 M (0.00000000 1.00000000) *
## 
## $trees[[115]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 432 M (0.47368421 0.52631579)  
##     2) texture_mean< 3.058002 629 299 B (0.52464229 0.47535771)  
##       4) symmetry_worst< -1.427209 575 254 B (0.55826087 0.44173913)  
##         8) texture_worst< 4.893373 539 225 B (0.58256030 0.41743970)  
##          16) texture_worst>=4.626933 104  18 B (0.82692308 0.17307692)  
##            32) compactness_se>=-4.281277 88   9 B (0.89772727 0.10227273)  
##              64) smoothness_worst>=-1.611224 86   7 B (0.91860465 0.08139535) *
##              65) smoothness_worst< -1.611224 2   0 M (0.00000000 1.00000000) *
##            33) compactness_se< -4.281277 16   7 M (0.43750000 0.56250000)  
##              66) smoothness_worst< -1.493881 7   0 B (1.00000000 0.00000000) *
##              67) smoothness_worst>=-1.493881 9   0 M (0.00000000 1.00000000) *
##          17) texture_worst< 4.626933 435 207 B (0.52413793 0.47586207)  
##            34) texture_worst< 4.592857 382 163 B (0.57329843 0.42670157)  
##              68) symmetry_worst< -1.816281 142  38 B (0.73239437 0.26760563) *
##              69) symmetry_worst>=-1.816281 240 115 M (0.47916667 0.52083333) *
##            35) texture_worst>=4.592857 53   9 M (0.16981132 0.83018868)  
##              70) smoothness_worst< -1.501069 28   9 M (0.32142857 0.67857143) *
##              71) smoothness_worst>=-1.501069 25   0 M (0.00000000 1.00000000) *
##         9) texture_worst>=4.893373 36   7 M (0.19444444 0.80555556)  
##          18) compactness_se< -4.899363 4   0 B (1.00000000 0.00000000) *
##          19) compactness_se>=-4.899363 32   3 M (0.09375000 0.90625000)  
##            38) texture_mean< 2.900557 2   0 B (1.00000000 0.00000000) *
##            39) texture_mean>=2.900557 30   1 M (0.03333333 0.96666667)  
##              78) texture_mean>=3.04476 5   1 M (0.20000000 0.80000000) *
##              79) texture_mean< 3.04476 25   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst>=-1.427209 54   9 M (0.16666667 0.83333333)  
##        10) compactness_se< -4.187745 4   0 B (1.00000000 0.00000000) *
##        11) compactness_se>=-4.187745 50   5 M (0.10000000 0.90000000)  
##          22) compactness_se>=-2.646661 2   0 B (1.00000000 0.00000000) *
##          23) compactness_se< -2.646661 48   3 M (0.06250000 0.93750000)  
##            46) smoothness_worst< -1.510081 2   0 B (1.00000000 0.00000000) *
##            47) smoothness_worst>=-1.510081 46   1 M (0.02173913 0.97826087)  
##              94) texture_mean< 2.756192 4   1 M (0.25000000 0.75000000) *
##              95) texture_mean>=2.756192 42   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=3.058002 283 102 M (0.36042403 0.63957597)  
##       6) texture_mean>=3.087627 200  94 M (0.47000000 0.53000000)  
##        12) compactness_se< -3.05924 175  81 B (0.53714286 0.46285714)  
##          24) compactness_se>=-3.902076 104  32 B (0.69230769 0.30769231)  
##            48) texture_mean< 3.227006 76  14 B (0.81578947 0.18421053)  
##              96) compactness_se< -3.477558 39   1 B (0.97435897 0.02564103) *
##              97) compactness_se>=-3.477558 37  13 B (0.64864865 0.35135135) *
##            49) texture_mean>=3.227006 28  10 M (0.35714286 0.64285714)  
##              98) smoothness_worst< -1.482502 18   8 B (0.55555556 0.44444444) *
##              99) smoothness_worst>=-1.482502 10   0 M (0.00000000 1.00000000) *
##          25) compactness_se< -3.902076 71  22 M (0.30985915 0.69014085)  
##            50) smoothness_worst< -1.579228 25   7 B (0.72000000 0.28000000)  
##             100) symmetry_worst>=-2.661749 21   3 B (0.85714286 0.14285714) *
##             101) symmetry_worst< -2.661749 4   0 M (0.00000000 1.00000000) *
##            51) smoothness_worst>=-1.579228 46   4 M (0.08695652 0.91304348)  
##             102) compactness_se< -4.537595 6   3 B (0.50000000 0.50000000) *
##             103) compactness_se>=-4.537595 40   1 M (0.02500000 0.97500000) *
##        13) compactness_se>=-3.05924 25   0 M (0.00000000 1.00000000) *
##       7) texture_mean< 3.087627 83   8 M (0.09638554 0.90361446)  
##        14) smoothness_mean< -2.610907 2   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean>=-2.610907 81   6 M (0.07407407 0.92592593)  
##          30) compactness_se< -4.585315 2   0 B (1.00000000 0.00000000) *
##          31) compactness_se>=-4.585315 79   4 M (0.05063291 0.94936709)  
##            62) symmetry_worst< -2.005178 9   3 M (0.33333333 0.66666667)  
##             124) texture_mean>=3.067819 3   0 B (1.00000000 0.00000000) *
##             125) texture_mean< 3.067819 6   0 M (0.00000000 1.00000000) *
##            63) symmetry_worst>=-2.005178 70   1 M (0.01428571 0.98571429)  
##             126) smoothness_mean< -2.431225 9   1 M (0.11111111 0.88888889) *
##             127) smoothness_mean>=-2.431225 61   0 M (0.00000000 1.00000000) *
## 
## $trees[[116]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 448 M (0.49122807 0.50877193)  
##     2) texture_mean< 3.058002 654 293 B (0.55198777 0.44801223)  
##       4) symmetry_worst>=-1.985299 564 228 B (0.59574468 0.40425532)  
##         8) symmetry_worst< -1.294443 542 207 B (0.61808118 0.38191882)  
##          16) symmetry_worst< -1.787433 173  42 B (0.75722543 0.24277457)  
##            32) texture_mean>=2.765357 152  26 B (0.82894737 0.17105263)  
##              64) smoothness_mean>=-2.539783 142  18 B (0.87323944 0.12676056) *
##              65) smoothness_mean< -2.539783 10   2 M (0.20000000 0.80000000) *
##            33) texture_mean< 2.765357 21   5 M (0.23809524 0.76190476)  
##              66) compactness_se< -4.064818 4   0 B (1.00000000 0.00000000) *
##              67) compactness_se>=-4.064818 17   1 M (0.05882353 0.94117647) *
##          17) symmetry_worst>=-1.787433 369 165 B (0.55284553 0.44715447)  
##            34) symmetry_worst>=-1.750623 297 106 B (0.64309764 0.35690236)  
##              68) symmetry_worst< -1.64088 86  12 B (0.86046512 0.13953488) *
##              69) symmetry_worst>=-1.64088 211  94 B (0.55450237 0.44549763) *
##            35) symmetry_worst< -1.750623 72  13 M (0.18055556 0.81944444)  
##              70) texture_mean< 2.788049 6   0 B (1.00000000 0.00000000) *
##              71) texture_mean>=2.788049 66   7 M (0.10606061 0.89393939) *
##         9) symmetry_worst>=-1.294443 22   1 M (0.04545455 0.95454545)  
##          18) compactness_se>=-2.646661 1   0 B (1.00000000 0.00000000) *
##          19) compactness_se< -2.646661 21   0 M (0.00000000 1.00000000) *
##       5) symmetry_worst< -1.985299 90  25 M (0.27777778 0.72222222)  
##        10) smoothness_worst< -1.502894 48  23 M (0.47916667 0.52083333)  
##          20) smoothness_worst>=-1.542369 18   2 B (0.88888889 0.11111111)  
##            40) compactness_se< -3.806444 15   0 B (1.00000000 0.00000000) *
##            41) compactness_se>=-3.806444 3   1 M (0.33333333 0.66666667)  
##              82) texture_mean< 3.006671 1   0 B (1.00000000 0.00000000) *
##              83) texture_mean>=3.006671 2   0 M (0.00000000 1.00000000) *
##          21) smoothness_worst< -1.542369 30   7 M (0.23333333 0.76666667)  
##            42) smoothness_mean< -2.466148 3   0 B (1.00000000 0.00000000) *
##            43) smoothness_mean>=-2.466148 27   4 M (0.14814815 0.85185185)  
##              86) texture_mean< 2.763153 1   0 B (1.00000000 0.00000000) *
##              87) texture_mean>=2.763153 26   3 M (0.11538462 0.88461538) *
##        11) smoothness_worst>=-1.502894 42   2 M (0.04761905 0.95238095)  
##          22) texture_mean< 2.718539 1   0 B (1.00000000 0.00000000) *
##          23) texture_mean>=2.718539 41   1 M (0.02439024 0.97560976)  
##            46) symmetry_worst< -2.207519 1   0 B (1.00000000 0.00000000) *
##            47) symmetry_worst>=-2.207519 40   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=3.058002 258  87 M (0.33720930 0.66279070)  
##       6) compactness_se< -3.484646 169  75 M (0.44378698 0.55621302)  
##        12) symmetry_worst< -2.020152 37   8 B (0.78378378 0.21621622)  
##          24) smoothness_mean< -2.279391 32   3 B (0.90625000 0.09375000)  
##            48) texture_worst< 5.309872 23   0 B (1.00000000 0.00000000) *
##            49) texture_worst>=5.309872 9   3 B (0.66666667 0.33333333)  
##              98) texture_mean>=3.33289 6   0 B (1.00000000 0.00000000) *
##              99) texture_mean< 3.33289 3   0 M (0.00000000 1.00000000) *
##          25) smoothness_mean>=-2.279391 5   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst>=-2.020152 132  46 M (0.34848485 0.65151515)  
##          26) compactness_se>=-3.902076 65  28 B (0.56923077 0.43076923)  
##            52) compactness_se< -3.721197 22   0 B (1.00000000 0.00000000) *
##            53) compactness_se>=-3.721197 43  15 M (0.34883721 0.65116279)  
##             106) symmetry_worst>=-1.597763 13   1 B (0.92307692 0.07692308) *
##             107) symmetry_worst< -1.597763 30   3 M (0.10000000 0.90000000) *
##          27) compactness_se< -3.902076 67   9 M (0.13432836 0.86567164)  
##            54) smoothness_mean< -2.509617 5   0 B (1.00000000 0.00000000) *
##            55) smoothness_mean>=-2.509617 62   4 M (0.06451613 0.93548387)  
##             110) smoothness_worst< -1.625159 1   0 B (1.00000000 0.00000000) *
##             111) smoothness_worst>=-1.625159 61   3 M (0.04918033 0.95081967) *
##       7) compactness_se>=-3.484646 89  12 M (0.13483146 0.86516854)  
##        14) smoothness_mean< -2.638103 3   0 B (1.00000000 0.00000000) *
##        15) smoothness_mean>=-2.638103 86   9 M (0.10465116 0.89534884)  
##          30) smoothness_worst>=-1.468038 10   5 B (0.50000000 0.50000000)  
##            60) symmetry_worst< -1.739394 5   0 B (1.00000000 0.00000000) *
##            61) symmetry_worst>=-1.739394 5   0 M (0.00000000 1.00000000) *
##          31) smoothness_worst< -1.468038 76   4 M (0.05263158 0.94736842)  
##            62) compactness_se>=-3.107452 25   4 M (0.16000000 0.84000000)  
##             124) compactness_se< -3.065406 4   0 B (1.00000000 0.00000000) *
##             125) compactness_se>=-3.065406 21   0 M (0.00000000 1.00000000) *
##            63) compactness_se< -3.107452 51   0 M (0.00000000 1.00000000) *
## 
## $trees[[117]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 402 M (0.44078947 0.55921053)  
##     2) texture_mean< 2.960364 429 186 B (0.56643357 0.43356643)  
##       4) smoothness_mean< -2.366751 158  45 B (0.71518987 0.28481013)  
##         8) smoothness_mean>=-2.411844 64   5 B (0.92187500 0.07812500)  
##          16) texture_worst< 4.734027 59   0 B (1.00000000 0.00000000) *
##          17) texture_worst>=4.734027 5   0 M (0.00000000 1.00000000) *
##         9) smoothness_mean< -2.411844 94  40 B (0.57446809 0.42553191)  
##          18) texture_worst>=4.621834 19   0 B (1.00000000 0.00000000) *
##          19) texture_worst< 4.621834 75  35 M (0.46666667 0.53333333)  
##            38) symmetry_worst< -1.834642 20   2 B (0.90000000 0.10000000)  
##              76) smoothness_worst>=-1.598495 17   0 B (1.00000000 0.00000000) *
##              77) smoothness_worst< -1.598495 3   1 M (0.33333333 0.66666667) *
##            39) symmetry_worst>=-1.834642 55  17 M (0.30909091 0.69090909)  
##              78) compactness_se>=-3.556204 9   0 B (1.00000000 0.00000000) *
##              79) compactness_se< -3.556204 46   8 M (0.17391304 0.82608696) *
##       5) smoothness_mean>=-2.366751 271 130 M (0.47970480 0.52029520)  
##        10) smoothness_mean>=-2.354774 240 113 B (0.52916667 0.47083333)  
##          20) smoothness_worst>=-1.478565 127  42 B (0.66929134 0.33070866)  
##            40) texture_mean< 2.933057 110  25 B (0.77272727 0.22727273)  
##              80) symmetry_worst< -1.613149 53   0 B (1.00000000 0.00000000) *
##              81) symmetry_worst>=-1.613149 57  25 B (0.56140351 0.43859649) *
##            41) texture_mean>=2.933057 17   0 M (0.00000000 1.00000000) *
##          21) smoothness_worst< -1.478565 113  42 M (0.37168142 0.62831858)  
##            42) texture_mean>=2.934121 15   0 B (1.00000000 0.00000000) *
##            43) texture_mean< 2.934121 98  27 M (0.27551020 0.72448980)  
##              86) smoothness_worst< -1.482701 66  26 M (0.39393939 0.60606061) *
##              87) smoothness_worst>=-1.482701 32   1 M (0.03125000 0.96875000) *
##        11) smoothness_mean< -2.354774 31   3 M (0.09677419 0.90322581)  
##          22) symmetry_worst>=-1.485729 3   0 B (1.00000000 0.00000000) *
##          23) symmetry_worst< -1.485729 28   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.960364 483 159 M (0.32919255 0.67080745)  
##       6) smoothness_worst< -1.637109 21   3 B (0.85714286 0.14285714)  
##        12) texture_mean< 3.205574 19   1 B (0.94736842 0.05263158)  
##          24) smoothness_mean>=-2.603563 16   0 B (1.00000000 0.00000000) *
##          25) smoothness_mean< -2.603563 3   1 B (0.66666667 0.33333333)  
##            50) texture_mean>=3.103494 2   0 B (1.00000000 0.00000000) *
##            51) texture_mean< 3.103494 1   0 M (0.00000000 1.00000000) *
##        13) texture_mean>=3.205574 2   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.637109 462 141 M (0.30519481 0.69480519)  
##        14) smoothness_mean>=-2.093138 13   2 B (0.84615385 0.15384615)  
##          28) smoothness_mean< -2.05387 11   0 B (1.00000000 0.00000000) *
##          29) smoothness_mean>=-2.05387 2   0 M (0.00000000 1.00000000) *
##        15) smoothness_mean< -2.093138 449 130 M (0.28953229 0.71046771)  
##          30) smoothness_mean< -2.21595 391 127 M (0.32480818 0.67519182)  
##            60) symmetry_worst< -1.888082 111  54 M (0.48648649 0.51351351)  
##             120) symmetry_worst>=-1.910692 15   0 B (1.00000000 0.00000000) *
##             121) symmetry_worst< -1.910692 96  39 M (0.40625000 0.59375000) *
##            61) symmetry_worst>=-1.888082 280  73 M (0.26071429 0.73928571)  
##             122) smoothness_worst>=-1.441541 42  17 B (0.59523810 0.40476190) *
##             123) smoothness_worst< -1.441541 238  48 M (0.20168067 0.79831933) *
##          31) smoothness_mean>=-2.21595 58   3 M (0.05172414 0.94827586)  
##            62) texture_worst< 4.490422 3   0 B (1.00000000 0.00000000) *
##            63) texture_worst>=4.490422 55   0 M (0.00000000 1.00000000) *
## 
## $trees[[118]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 445 B (0.51206140 0.48793860)  
##     2) smoothness_mean< -2.203647 811 368 B (0.54623921 0.45376079)  
##       4) smoothness_worst< -1.472307 603 246 B (0.59203980 0.40796020)  
##         8) smoothness_worst>=-1.4768 43   0 B (1.00000000 0.00000000) *
##         9) smoothness_worst< -1.4768 560 246 B (0.56071429 0.43928571)  
##          18) smoothness_worst< -1.482699 520 215 B (0.58653846 0.41346154)  
##            36) smoothness_mean>=-2.224699 25   0 B (1.00000000 0.00000000) *
##            37) smoothness_mean< -2.224699 495 215 B (0.56565657 0.43434343)  
##              74) smoothness_mean< -2.392182 239  81 B (0.66108787 0.33891213) *
##              75) smoothness_mean>=-2.392182 256 122 M (0.47656250 0.52343750) *
##          19) smoothness_worst>=-1.482699 40   9 M (0.22500000 0.77500000)  
##            38) texture_mean< 2.755881 5   0 B (1.00000000 0.00000000) *
##            39) texture_mean>=2.755881 35   4 M (0.11428571 0.88571429)  
##              78) smoothness_mean>=-2.253991 6   2 B (0.66666667 0.33333333) *
##              79) smoothness_mean< -2.253991 29   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst>=-1.472307 208  86 M (0.41346154 0.58653846)  
##        10) smoothness_worst>=-1.466484 176  86 M (0.48863636 0.51136364)  
##          20) texture_mean< 2.777879 22   0 B (1.00000000 0.00000000) *
##          21) texture_mean>=2.777879 154  64 M (0.41558442 0.58441558)  
##            42) symmetry_worst< -1.941776 25   5 B (0.80000000 0.20000000)  
##              84) texture_worst< 4.85229 20   0 B (1.00000000 0.00000000) *
##              85) texture_worst>=4.85229 5   0 M (0.00000000 1.00000000) *
##            43) symmetry_worst>=-1.941776 129  44 M (0.34108527 0.65891473)  
##              86) texture_worst>=4.940521 26   6 B (0.76923077 0.23076923) *
##              87) texture_worst< 4.940521 103  24 M (0.23300971 0.76699029) *
##        11) smoothness_worst< -1.466484 32   0 M (0.00000000 1.00000000) *
##     3) smoothness_mean>=-2.203647 101  24 M (0.23762376 0.76237624)  
##       6) compactness_se< -4.096797 9   0 B (1.00000000 0.00000000) *
##       7) compactness_se>=-4.096797 92  15 M (0.16304348 0.83695652)  
##        14) texture_worst< 3.788077 6   0 B (1.00000000 0.00000000) *
##        15) texture_worst>=3.788077 86   9 M (0.10465116 0.89534884)  
##          30) smoothness_worst>=-1.369782 16   7 M (0.43750000 0.56250000)  
##            60) symmetry_worst< -1.685481 7   0 B (1.00000000 0.00000000) *
##            61) symmetry_worst>=-1.685481 9   0 M (0.00000000 1.00000000) *
##          31) smoothness_worst< -1.369782 70   2 M (0.02857143 0.97142857)  
##            62) smoothness_worst< -1.534923 3   1 M (0.33333333 0.66666667)  
##             124) texture_mean< 2.820036 1   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=2.820036 2   0 M (0.00000000 1.00000000) *
##            63) smoothness_worst>=-1.534923 67   1 M (0.01492537 0.98507463)  
##             126) smoothness_worst>=-1.398811 5   1 M (0.20000000 0.80000000) *
##             127) smoothness_worst< -1.398811 62   0 M (0.00000000 1.00000000) *
## 
## $trees[[119]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##  1) root 912 439 B (0.51864035 0.48135965)  
##    2) smoothness_mean< -2.203647 834 378 B (0.54676259 0.45323741)  
##      4) texture_worst< 4.911888 690 290 B (0.57971014 0.42028986)  
##        8) smoothness_mean>=-2.354774 354 116 B (0.67231638 0.32768362)  
##         16) smoothness_worst< -1.457066 272  68 B (0.75000000 0.25000000)  
##           32) texture_worst>=4.603161 97  10 B (0.89690722 0.10309278)  
##             64) compactness_se< -3.326802 83   0 B (1.00000000 0.00000000) *
##             65) compactness_se>=-3.326802 14   4 M (0.28571429 0.71428571) *
##           33) texture_worst< 4.603161 175  58 B (0.66857143 0.33142857)  
##             66) texture_mean< 3.019196 148  36 B (0.75675676 0.24324324) *
##             67) texture_mean>=3.019196 27   5 M (0.18518519 0.81481481) *
##         17) smoothness_worst>=-1.457066 82  34 M (0.41463415 0.58536585)  
##           34) smoothness_mean< -2.27012 28   6 B (0.78571429 0.21428571)  
##             68) smoothness_worst< -1.423922 23   1 B (0.95652174 0.04347826) *
##             69) smoothness_worst>=-1.423922 5   0 M (0.00000000 1.00000000) *
##           35) smoothness_mean>=-2.27012 54  12 M (0.22222222 0.77777778)  
##             70) texture_worst< 4.417586 25  12 M (0.48000000 0.52000000) *
##             71) texture_worst>=4.417586 29   0 M (0.00000000 1.00000000) *
##        9) smoothness_mean< -2.354774 336 162 M (0.48214286 0.51785714)  
##         18) compactness_se>=-3.421473 44   6 B (0.86363636 0.13636364)  
##           36) texture_mean< 3.109826 39   1 B (0.97435897 0.02564103)  
##             72) compactness_se>=-3.377574 33   0 B (1.00000000 0.00000000) *
##             73) compactness_se< -3.377574 6   1 B (0.83333333 0.16666667) *
##           37) texture_mean>=3.109826 5   0 M (0.00000000 1.00000000) *
##         19) compactness_se< -3.421473 292 124 M (0.42465753 0.57534247)  
##           38) texture_worst< 4.578048 158  71 B (0.55063291 0.44936709)  
##             76) smoothness_worst< -1.452493 135  50 B (0.62962963 0.37037037) *
##             77) smoothness_worst>=-1.452493 23   2 M (0.08695652 0.91304348) *
##           39) texture_worst>=4.578048 134  37 M (0.27611940 0.72388060)  
##             78) texture_worst>=4.740988 40  16 B (0.60000000 0.40000000) *
##             79) texture_worst< 4.740988 94  13 M (0.13829787 0.86170213) *
##      5) texture_worst>=4.911888 144  56 M (0.38888889 0.61111111)  
##       10) smoothness_mean< -2.336091 102  50 M (0.49019608 0.50980392)  
##         20) smoothness_mean>=-2.445878 54  18 B (0.66666667 0.33333333)  
##           40) symmetry_worst>=-1.733593 22   1 B (0.95454545 0.04545455)  
##             80) texture_worst>=4.972324 21   0 B (1.00000000 0.00000000) *
##             81) texture_worst< 4.972324 1   0 M (0.00000000 1.00000000) *
##           41) symmetry_worst< -1.733593 32  15 M (0.46875000 0.53125000)  
##             82) symmetry_worst< -2.145206 11   0 B (1.00000000 0.00000000) *
##             83) symmetry_worst>=-2.145206 21   4 M (0.19047619 0.80952381) *
##         21) smoothness_mean< -2.445878 48  14 M (0.29166667 0.70833333)  
##           42) compactness_se< -4.706178 6   0 B (1.00000000 0.00000000) *
##           43) compactness_se>=-4.706178 42   8 M (0.19047619 0.80952381)  
##             86) texture_worst< 4.961576 2   0 B (1.00000000 0.00000000) *
##             87) texture_worst>=4.961576 40   6 M (0.15000000 0.85000000) *
##       11) smoothness_mean>=-2.336091 42   6 M (0.14285714 0.85714286)  
##         22) compactness_se< -4.032549 7   2 B (0.71428571 0.28571429)  
##           44) smoothness_mean>=-2.281055 5   0 B (1.00000000 0.00000000) *
##           45) smoothness_mean< -2.281055 2   0 M (0.00000000 1.00000000) *
##         23) compactness_se>=-4.032549 35   1 M (0.02857143 0.97142857)  
##           46) symmetry_worst< -2.207988 1   0 B (1.00000000 0.00000000) *
##           47) symmetry_worst>=-2.207988 34   0 M (0.00000000 1.00000000) *
##    3) smoothness_mean>=-2.203647 78  17 M (0.21794872 0.78205128)  
##      6) texture_worst< 4.228128 26  11 B (0.57692308 0.42307692)  
##       12) texture_mean>=2.515298 18   3 B (0.83333333 0.16666667)  
##         24) texture_mean< 2.878198 15   0 B (1.00000000 0.00000000) *
##         25) texture_mean>=2.878198 3   0 M (0.00000000 1.00000000) *
##       13) texture_mean< 2.515298 8   0 M (0.00000000 1.00000000) *
##      7) texture_worst>=4.228128 52   2 M (0.03846154 0.96153846)  
##       14) smoothness_mean>=-2.094359 7   2 M (0.28571429 0.71428571)  
##         28) texture_mean>=3.024626 2   0 B (1.00000000 0.00000000) *
##         29) texture_mean< 3.024626 5   0 M (0.00000000 1.00000000) *
##       15) smoothness_mean< -2.094359 45   0 M (0.00000000 1.00000000) *
## 
## $trees[[120]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 438 M (0.48026316 0.51973684)  
##     2) smoothness_worst< -1.482699 581 267 B (0.54044750 0.45955250)  
##       4) smoothness_mean>=-2.402129 320 116 B (0.63750000 0.36250000)  
##         8) texture_mean< 3.018222 196  50 B (0.74489796 0.25510204)  
##          16) smoothness_mean< -2.332581 90  10 B (0.88888889 0.11111111)  
##            32) symmetry_worst>=-1.951914 79   3 B (0.96202532 0.03797468)  
##              64) texture_mean< 2.97983 76   0 B (1.00000000 0.00000000) *
##              65) texture_mean>=2.97983 3   0 M (0.00000000 1.00000000) *
##            33) symmetry_worst< -1.951914 11   4 M (0.36363636 0.63636364)  
##              66) smoothness_worst< -1.555261 4   0 B (1.00000000 0.00000000) *
##              67) smoothness_worst>=-1.555261 7   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean>=-2.332581 106  40 B (0.62264151 0.37735849)  
##            34) symmetry_worst< -1.841614 39   5 B (0.87179487 0.12820513)  
##              68) smoothness_worst>=-1.596418 34   0 B (1.00000000 0.00000000) *
##              69) smoothness_worst< -1.596418 5   0 M (0.00000000 1.00000000) *
##            35) symmetry_worst>=-1.841614 67  32 M (0.47761194 0.52238806)  
##              70) symmetry_worst>=-1.773637 42  13 B (0.69047619 0.30952381) *
##              71) symmetry_worst< -1.773637 25   3 M (0.12000000 0.88000000) *
##         9) texture_mean>=3.018222 124  58 M (0.46774194 0.53225806)  
##          18) texture_worst>=4.751723 79  26 B (0.67088608 0.32911392)  
##            36) compactness_se< -3.469152 68  15 B (0.77941176 0.22058824)  
##              72) texture_mean>=3.088518 54   6 B (0.88888889 0.11111111) *
##              73) texture_mean< 3.088518 14   5 M (0.35714286 0.64285714) *
##            37) compactness_se>=-3.469152 11   0 M (0.00000000 1.00000000) *
##          19) texture_worst< 4.751723 45   5 M (0.11111111 0.88888889)  
##            38) texture_worst< 4.554167 7   2 B (0.71428571 0.28571429)  
##              76) texture_mean< 3.157578 5   0 B (1.00000000 0.00000000) *
##              77) texture_mean>=3.157578 2   0 M (0.00000000 1.00000000) *
##            39) texture_worst>=4.554167 38   0 M (0.00000000 1.00000000) *
##       5) smoothness_mean< -2.402129 261 110 M (0.42145594 0.57854406)  
##        10) symmetry_worst< -1.822578 94  37 B (0.60638298 0.39361702)  
##          20) texture_worst>=3.979653 82  27 B (0.67073171 0.32926829)  
##            40) texture_worst< 4.441949 15   0 B (1.00000000 0.00000000) *
##            41) texture_worst>=4.441949 67  27 B (0.59701493 0.40298507)  
##              82) texture_worst>=4.498003 59  19 B (0.67796610 0.32203390) *
##              83) texture_worst< 4.498003 8   0 M (0.00000000 1.00000000) *
##          21) texture_worst< 3.979653 12   2 M (0.16666667 0.83333333)  
##            42) texture_mean< 2.707858 2   0 B (1.00000000 0.00000000) *
##            43) texture_mean>=2.707858 10   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.822578 167  53 M (0.31736527 0.68263473)  
##          22) symmetry_worst>=-1.750623 104  50 M (0.48076923 0.51923077)  
##            44) texture_mean< 2.955676 45   7 B (0.84444444 0.15555556)  
##              88) compactness_se>=-4.62493 33   0 B (1.00000000 0.00000000) *
##              89) compactness_se< -4.62493 12   5 M (0.41666667 0.58333333) *
##            45) texture_mean>=2.955676 59  12 M (0.20338983 0.79661017)  
##              90) symmetry_worst< -1.728406 7   0 B (1.00000000 0.00000000) *
##              91) symmetry_worst>=-1.728406 52   5 M (0.09615385 0.90384615) *
##          23) symmetry_worst< -1.750623 63   3 M (0.04761905 0.95238095)  
##            46) texture_mean>=3.176386 2   0 B (1.00000000 0.00000000) *
##            47) texture_mean< 3.176386 61   1 M (0.01639344 0.98360656)  
##              94) texture_mean< 2.758813 1   0 B (1.00000000 0.00000000) *
##              95) texture_mean>=2.758813 60   0 M (0.00000000 1.00000000) *
##     3) smoothness_worst>=-1.482699 331 124 M (0.37462236 0.62537764)  
##       6) smoothness_worst>=-1.477976 263 118 M (0.44866920 0.55133080)  
##        12) smoothness_worst< -1.473476 43   7 B (0.83720930 0.16279070)  
##          24) texture_mean< 3.069079 36   0 B (1.00000000 0.00000000) *
##          25) texture_mean>=3.069079 7   0 M (0.00000000 1.00000000) *
##        13) smoothness_worst>=-1.473476 220  82 M (0.37272727 0.62727273)  
##          26) compactness_se< -4.048185 45  16 B (0.64444444 0.35555556)  
##            52) smoothness_worst>=-1.459552 37   9 B (0.75675676 0.24324324)  
##             104) compactness_se>=-4.195493 21   1 B (0.95238095 0.04761905) *
##             105) compactness_se< -4.195493 16   8 B (0.50000000 0.50000000) *
##            53) smoothness_worst< -1.459552 8   1 M (0.12500000 0.87500000)  
##             106) texture_mean< 2.901883 1   0 B (1.00000000 0.00000000) *
##             107) texture_mean>=2.901883 7   0 M (0.00000000 1.00000000) *
##          27) compactness_se>=-4.048185 175  53 M (0.30285714 0.69714286)  
##            54) symmetry_worst< -1.776275 59  29 B (0.50847458 0.49152542)  
##             108) compactness_se>=-3.701475 35   9 B (0.74285714 0.25714286) *
##             109) compactness_se< -3.701475 24   4 M (0.16666667 0.83333333) *
##            55) symmetry_worst>=-1.776275 116  23 M (0.19827586 0.80172414)  
##             110) texture_worst< 4.398698 51  17 M (0.33333333 0.66666667) *
##             111) texture_worst>=4.398698 65   6 M (0.09230769 0.90769231) *
##       7) smoothness_worst< -1.477976 68   6 M (0.08823529 0.91176471)  
##        14) texture_worst< 4.136746 3   0 B (1.00000000 0.00000000) *
##        15) texture_worst>=4.136746 65   3 M (0.04615385 0.95384615)  
##          30) symmetry_worst< -1.932547 14   3 M (0.21428571 0.78571429)  
##            60) texture_mean< 2.857314 3   0 B (1.00000000 0.00000000) *
##            61) texture_mean>=2.857314 11   0 M (0.00000000 1.00000000) *
##          31) symmetry_worst>=-1.932547 51   0 M (0.00000000 1.00000000) *
## 
## $trees[[121]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 432 M (0.47368421 0.52631579)  
##     2) smoothness_worst< -1.501069 464 205 B (0.55818966 0.44181034)  
##       4) smoothness_worst>=-1.533868 146  31 B (0.78767123 0.21232877)  
##         8) texture_mean< 3.019196 75   5 B (0.93333333 0.06666667)  
##          16) texture_mean>=2.897009 54   1 B (0.98148148 0.01851852)  
##            32) texture_mean< 3.006671 49   0 B (1.00000000 0.00000000) *
##            33) texture_mean>=3.006671 5   1 B (0.80000000 0.20000000)  
##              66) texture_mean>=3.0116 4   0 B (1.00000000 0.00000000) *
##              67) texture_mean< 3.0116 1   0 M (0.00000000 1.00000000) *
##          17) texture_mean< 2.897009 21   4 B (0.80952381 0.19047619)  
##            34) texture_mean< 2.891759 17   0 B (1.00000000 0.00000000) *
##            35) texture_mean>=2.891759 4   0 M (0.00000000 1.00000000) *
##         9) texture_mean>=3.019196 71  26 B (0.63380282 0.36619718)  
##          18) texture_worst>=4.769093 54  13 B (0.75925926 0.24074074)  
##            36) smoothness_mean>=-2.438762 50   9 B (0.82000000 0.18000000)  
##              72) smoothness_mean>=-2.330189 22   0 B (1.00000000 0.00000000) *
##              73) smoothness_mean< -2.330189 28   9 B (0.67857143 0.32142857) *
##            37) smoothness_mean< -2.438762 4   0 M (0.00000000 1.00000000) *
##          19) texture_worst< 4.769093 17   4 M (0.23529412 0.76470588)  
##            38) compactness_se>=-3.388255 4   0 B (1.00000000 0.00000000) *
##            39) compactness_se< -3.388255 13   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst< -1.533868 318 144 M (0.45283019 0.54716981)  
##        10) compactness_se< -4.704842 14   0 B (1.00000000 0.00000000) *
##        11) compactness_se>=-4.704842 304 130 M (0.42763158 0.57236842)  
##          22) smoothness_mean< -2.546123 17   2 B (0.88235294 0.11764706)  
##            44) compactness_se< -3.013033 12   0 B (1.00000000 0.00000000) *
##            45) compactness_se>=-3.013033 5   2 B (0.60000000 0.40000000)  
##              90) texture_mean< 3.076827 3   0 B (1.00000000 0.00000000) *
##              91) texture_mean>=3.076827 2   0 M (0.00000000 1.00000000) *
##          23) smoothness_mean>=-2.546123 287 115 M (0.40069686 0.59930314)  
##            46) smoothness_mean>=-2.40318 99  46 B (0.53535354 0.46464646)  
##              92) compactness_se< -3.764139 55  13 B (0.76363636 0.23636364) *
##              93) compactness_se>=-3.764139 44  11 M (0.25000000 0.75000000) *
##            47) smoothness_mean< -2.40318 188  62 M (0.32978723 0.67021277)  
##              94) compactness_se>=-2.763042 9   0 B (1.00000000 0.00000000) *
##              95) compactness_se< -2.763042 179  53 M (0.29608939 0.70391061) *
##     3) smoothness_worst>=-1.501069 448 173 M (0.38616071 0.61383929)  
##       6) texture_mean< 2.931727 197  84 B (0.57360406 0.42639594)  
##        12) symmetry_worst< -1.36527 151  50 B (0.66887417 0.33112583)  
##          24) texture_mean>=2.869313 44   0 B (1.00000000 0.00000000) *
##          25) texture_mean< 2.869313 107  50 B (0.53271028 0.46728972)  
##            50) compactness_se>=-3.344671 24   2 B (0.91666667 0.08333333)  
##             100) compactness_se< -3.086764 20   0 B (1.00000000 0.00000000) *
##             101) compactness_se>=-3.086764 4   2 B (0.50000000 0.50000000) *
##            51) compactness_se< -3.344671 83  35 M (0.42168675 0.57831325)  
##             102) compactness_se< -3.88564 42  14 B (0.66666667 0.33333333) *
##             103) compactness_se>=-3.88564 41   7 M (0.17073171 0.82926829) *
##        13) symmetry_worst>=-1.36527 46  12 M (0.26086957 0.73913043)  
##          26) symmetry_worst>=-1.23578 19   7 B (0.63157895 0.36842105)  
##            52) smoothness_mean< -2.235399 12   0 B (1.00000000 0.00000000) *
##            53) smoothness_mean>=-2.235399 7   0 M (0.00000000 1.00000000) *
##          27) symmetry_worst< -1.23578 27   0 M (0.00000000 1.00000000) *
##       7) texture_mean>=2.931727 251  60 M (0.23904382 0.76095618)  
##        14) smoothness_mean< -2.323555 99  42 M (0.42424242 0.57575758)  
##          28) compactness_se>=-3.515615 18   1 B (0.94444444 0.05555556)  
##            56) smoothness_mean>=-2.465359 17   0 B (1.00000000 0.00000000) *
##            57) smoothness_mean< -2.465359 1   0 M (0.00000000 1.00000000) *
##          29) compactness_se< -3.515615 81  25 M (0.30864198 0.69135802)  
##            58) symmetry_worst< -1.869481 18   4 B (0.77777778 0.22222222)  
##             116) texture_worst>=4.544398 15   1 B (0.93333333 0.06666667) *
##             117) texture_worst< 4.544398 3   0 M (0.00000000 1.00000000) *
##            59) symmetry_worst>=-1.869481 63  11 M (0.17460317 0.82539683)  
##             118) smoothness_worst>=-1.398981 5   0 B (1.00000000 0.00000000) *
##             119) smoothness_worst< -1.398981 58   6 M (0.10344828 0.89655172) *
##        15) smoothness_mean>=-2.323555 152  18 M (0.11842105 0.88157895)  
##          30) compactness_se< -4.040144 15   7 B (0.53333333 0.46666667)  
##            60) compactness_se>=-4.113499 5   0 B (1.00000000 0.00000000) *
##            61) compactness_se< -4.113499 10   3 M (0.30000000 0.70000000)  
##             122) compactness_se< -4.244589 3   0 B (1.00000000 0.00000000) *
##             123) compactness_se>=-4.244589 7   0 M (0.00000000 1.00000000) *
##          31) compactness_se>=-4.040144 137  10 M (0.07299270 0.92700730)  
##            62) smoothness_mean>=-2.091535 4   1 B (0.75000000 0.25000000)  
##             124) texture_mean< 3.105576 3   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=3.105576 1   0 M (0.00000000 1.00000000) *
##            63) smoothness_mean< -2.091535 133   7 M (0.05263158 0.94736842)  
##             126) symmetry_worst< -1.905461 18   5 M (0.27777778 0.72222222) *
##             127) symmetry_worst>=-1.905461 115   2 M (0.01739130 0.98260870) *
## 
## $trees[[122]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 454 M (0.49780702 0.50219298)  
##     2) compactness_se>=-4.098353 622 275 B (0.55787781 0.44212219)  
##       4) smoothness_worst< -1.604936 53   6 B (0.88679245 0.11320755)  
##         8) texture_mean>=2.950933 46   1 B (0.97826087 0.02173913)  
##          16) smoothness_worst>=-1.720903 42   0 B (1.00000000 0.00000000) *
##          17) smoothness_worst< -1.720903 4   1 B (0.75000000 0.25000000)  
##            34) compactness_se< -3.013033 3   0 B (1.00000000 0.00000000) *
##            35) compactness_se>=-3.013033 1   0 M (0.00000000 1.00000000) *
##         9) texture_mean< 2.950933 7   2 M (0.28571429 0.71428571)  
##          18) texture_mean< 2.923023 2   0 B (1.00000000 0.00000000) *
##          19) texture_mean>=2.923023 5   0 M (0.00000000 1.00000000) *
##       5) smoothness_worst>=-1.604936 569 269 B (0.52724077 0.47275923)  
##        10) symmetry_worst>=-1.986086 480 207 B (0.56875000 0.43125000)  
##          20) symmetry_worst< -1.932547 42   1 B (0.97619048 0.02380952)  
##            40) texture_mean< 3.078534 41   0 B (1.00000000 0.00000000) *
##            41) texture_mean>=3.078534 1   0 M (0.00000000 1.00000000) *
##          21) symmetry_worst>=-1.932547 438 206 B (0.52968037 0.47031963)  
##            42) smoothness_worst< -1.500666 183  64 B (0.65027322 0.34972678)  
##              84) texture_mean< 3.019196 94  14 B (0.85106383 0.14893617) *
##              85) texture_mean>=3.019196 89  39 M (0.43820225 0.56179775) *
##            43) smoothness_worst>=-1.500666 255 113 M (0.44313725 0.55686275)  
##              86) smoothness_worst>=-1.434633 86  32 B (0.62790698 0.37209302) *
##              87) smoothness_worst< -1.434633 169  59 M (0.34911243 0.65088757) *
##        11) symmetry_worst< -1.986086 89  27 M (0.30337079 0.69662921)  
##          22) texture_mean>=3.337721 6   0 B (1.00000000 0.00000000) *
##          23) texture_mean< 3.337721 83  21 M (0.25301205 0.74698795)  
##            46) smoothness_mean>=-2.35905 40  20 B (0.50000000 0.50000000)  
##              92) smoothness_worst< -1.514694 13   0 B (1.00000000 0.00000000) *
##              93) smoothness_worst>=-1.514694 27   7 M (0.25925926 0.74074074) *
##            47) smoothness_mean< -2.35905 43   1 M (0.02325581 0.97674419)  
##              94) symmetry_worst< -2.25148 1   0 B (1.00000000 0.00000000) *
##              95) symmetry_worst>=-2.25148 42   0 M (0.00000000 1.00000000) *
##     3) compactness_se< -4.098353 290 107 M (0.36896552 0.63103448)  
##       6) texture_mean< 2.81988 13   0 B (1.00000000 0.00000000) *
##       7) texture_mean>=2.81988 277  94 M (0.33935018 0.66064982)  
##        14) texture_worst>=4.548114 189  79 M (0.41798942 0.58201058)  
##          28) texture_worst< 4.592857 16   0 B (1.00000000 0.00000000) *
##          29) texture_worst>=4.592857 173  63 M (0.36416185 0.63583815)  
##            58) symmetry_worst< -2.057752 20   2 B (0.90000000 0.10000000)  
##             116) texture_mean>=2.952554 18   0 B (1.00000000 0.00000000) *
##             117) texture_mean< 2.952554 2   0 M (0.00000000 1.00000000) *
##            59) symmetry_worst>=-2.057752 153  45 M (0.29411765 0.70588235)  
##             118) smoothness_mean< -2.426508 70  33 M (0.47142857 0.52857143) *
##             119) smoothness_mean>=-2.426508 83  12 M (0.14457831 0.85542169) *
##        15) texture_worst< 4.548114 88  15 M (0.17045455 0.82954545)  
##          30) compactness_se< -4.627587 6   0 B (1.00000000 0.00000000) *
##          31) compactness_se>=-4.627587 82   9 M (0.10975610 0.89024390)  
##            62) smoothness_mean< -2.469882 7   3 B (0.57142857 0.42857143)  
##             124) texture_mean< 2.94329 4   0 B (1.00000000 0.00000000) *
##             125) texture_mean>=2.94329 3   0 M (0.00000000 1.00000000) *
##            63) smoothness_mean>=-2.469882 75   5 M (0.06666667 0.93333333)  
##             126) smoothness_mean>=-2.268995 2   0 B (1.00000000 0.00000000) *
##             127) smoothness_mean< -2.268995 73   3 M (0.04109589 0.95890411) *
## 
## $trees[[123]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 408 B (0.5526316 0.4473684)  
##     2) compactness_se< -4.704842 19   0 B (1.0000000 0.0000000) *
##     3) compactness_se>=-4.704842 893 408 B (0.5431131 0.4568869)  
##       6) symmetry_worst< -1.001713 881 396 B (0.5505108 0.4494892)  
##        12) texture_mean>=3.337721 41   7 B (0.8292683 0.1707317)  
##          24) texture_mean< 3.388429 34   0 B (1.0000000 0.0000000) *
##          25) texture_mean>=3.388429 7   0 M (0.0000000 1.0000000) *
##        13) texture_mean< 3.337721 840 389 B (0.5369048 0.4630952)  
##          26) texture_worst< 5.073596 781 347 B (0.5556978 0.4443022)  
##            52) texture_mean>=3.099415 119  33 B (0.7226891 0.2773109)  
##             104) symmetry_worst>=-1.925345 89  15 B (0.8314607 0.1685393) *
##             105) symmetry_worst< -1.925345 30  12 M (0.4000000 0.6000000) *
##            53) texture_mean< 3.099415 662 314 B (0.5256798 0.4743202)  
##             106) compactness_se< -3.680136 401 163 B (0.5935162 0.4064838) *
##             107) compactness_se>=-3.680136 261 110 M (0.4214559 0.5785441) *
##          27) texture_worst>=5.073596 59  17 M (0.2881356 0.7118644)  
##            54) smoothness_worst< -1.609702 7   0 B (1.0000000 0.0000000) *
##            55) smoothness_worst>=-1.609702 52  10 M (0.1923077 0.8076923)  
##             110) symmetry_worst>=-1.45218 6   1 B (0.8333333 0.1666667) *
##             111) symmetry_worst< -1.45218 46   5 M (0.1086957 0.8913043) *
##       7) symmetry_worst>=-1.001713 12   0 M (0.0000000 1.0000000) *
## 
## $trees[[124]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 393 B (0.56907895 0.43092105)  
##     2) compactness_se>=-3.93685 532 197 B (0.62969925 0.37030075)  
##       4) smoothness_mean< -2.296106 346 107 B (0.69075145 0.30924855)  
##         8) smoothness_worst>=-1.555451 232  51 B (0.78017241 0.21982759)  
##          16) smoothness_mean< -2.412736 58   2 B (0.96551724 0.03448276)  
##            32) smoothness_mean>=-2.470951 56   0 B (1.00000000 0.00000000) *
##            33) smoothness_mean< -2.470951 2   0 M (0.00000000 1.00000000) *
##          17) smoothness_mean>=-2.412736 174  49 B (0.71839080 0.28160920)  
##            34) symmetry_worst>=-1.612868 70   8 B (0.88571429 0.11428571)  
##              68) texture_mean< 3.142699 68   6 B (0.91176471 0.08823529) *
##              69) texture_mean>=3.142699 2   0 M (0.00000000 1.00000000) *
##            35) symmetry_worst< -1.612868 104  41 B (0.60576923 0.39423077)  
##              70) symmetry_worst< -1.671738 77  17 B (0.77922078 0.22077922) *
##              71) symmetry_worst>=-1.671738 27   3 M (0.11111111 0.88888889) *
##         9) smoothness_worst< -1.555451 114  56 B (0.50877193 0.49122807)  
##          18) smoothness_worst< -1.615894 35   6 B (0.82857143 0.17142857)  
##            36) smoothness_worst>=-1.651028 24   1 B (0.95833333 0.04166667)  
##              72) smoothness_mean< -2.337942 23   0 B (1.00000000 0.00000000) *
##              73) smoothness_mean>=-2.337942 1   0 M (0.00000000 1.00000000) *
##            37) smoothness_worst< -1.651028 11   5 B (0.54545455 0.45454545)  
##              74) texture_mean>=3.103494 5   0 B (1.00000000 0.00000000) *
##              75) texture_mean< 3.103494 6   1 M (0.16666667 0.83333333) *
##          19) smoothness_worst>=-1.615894 79  29 M (0.36708861 0.63291139)  
##            38) smoothness_mean< -2.486577 6   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean>=-2.486577 73  23 M (0.31506849 0.68493151)  
##              78) texture_mean< 3.049609 39  19 M (0.48717949 0.51282051) *
##              79) texture_mean>=3.049609 34   4 M (0.11764706 0.88235294) *
##       5) smoothness_mean>=-2.296106 186  90 B (0.51612903 0.48387097)  
##        10) symmetry_worst< -1.653707 103  33 B (0.67961165 0.32038835)  
##          20) smoothness_mean>=-2.274485 83  20 B (0.75903614 0.24096386)  
##            40) texture_mean< 2.909334 37   0 B (1.00000000 0.00000000) *
##            41) texture_mean>=2.909334 46  20 B (0.56521739 0.43478261)  
##              82) texture_mean>=2.992463 34   8 B (0.76470588 0.23529412) *
##              83) texture_mean< 2.992463 12   0 M (0.00000000 1.00000000) *
##          21) smoothness_mean< -2.274485 20   7 M (0.35000000 0.65000000)  
##            42) symmetry_worst< -1.93369 9   2 B (0.77777778 0.22222222)  
##              84) compactness_se< -3.443758 7   0 B (1.00000000 0.00000000) *
##              85) compactness_se>=-3.443758 2   0 M (0.00000000 1.00000000) *
##            43) symmetry_worst>=-1.93369 11   0 M (0.00000000 1.00000000) *
##        11) symmetry_worst>=-1.653707 83  26 M (0.31325301 0.68674699)  
##          22) smoothness_mean>=-2.239141 51  25 B (0.50980392 0.49019608)  
##            44) smoothness_mean< -2.194003 28   5 B (0.82142857 0.17857143)  
##              88) texture_mean>=2.710629 24   1 B (0.95833333 0.04166667) *
##              89) texture_mean< 2.710629 4   0 M (0.00000000 1.00000000) *
##            45) smoothness_mean>=-2.194003 23   3 M (0.13043478 0.86956522)  
##              90) smoothness_mean>=-1.889548 2   0 B (1.00000000 0.00000000) *
##              91) smoothness_mean< -1.889548 21   1 M (0.04761905 0.95238095) *
##          23) smoothness_mean< -2.239141 32   0 M (0.00000000 1.00000000) *
##     3) compactness_se< -3.93685 380 184 M (0.48421053 0.51578947)  
##       6) smoothness_worst< -1.55307 127  40 B (0.68503937 0.31496063)  
##        12) symmetry_worst>=-2.382417 113  26 B (0.76991150 0.23008850)  
##          24) compactness_se< -4.260936 90  13 B (0.85555556 0.14444444)  
##            48) smoothness_worst>=-1.61379 77   5 B (0.93506494 0.06493506)  
##              96) smoothness_worst< -1.555669 66   0 B (1.00000000 0.00000000) *
##              97) smoothness_worst>=-1.555669 11   5 B (0.54545455 0.45454545) *
##            49) smoothness_worst< -1.61379 13   5 M (0.38461538 0.61538462)  
##              98) smoothness_worst< -1.624645 5   0 B (1.00000000 0.00000000) *
##              99) smoothness_worst>=-1.624645 8   0 M (0.00000000 1.00000000) *
##          25) compactness_se>=-4.260936 23  10 M (0.43478261 0.56521739)  
##            50) texture_mean< 2.950343 6   0 B (1.00000000 0.00000000) *
##            51) texture_mean>=2.950343 17   4 M (0.23529412 0.76470588)  
##             102) symmetry_worst< -1.971165 4   0 B (1.00000000 0.00000000) *
##             103) symmetry_worst>=-1.971165 13   0 M (0.00000000 1.00000000) *
##        13) symmetry_worst< -2.382417 14   0 M (0.00000000 1.00000000) *
##       7) smoothness_worst>=-1.55307 253  97 M (0.38339921 0.61660079)  
##        14) compactness_se< -4.557422 23   1 B (0.95652174 0.04347826)  
##          28) symmetry_worst>=-1.821274 21   0 B (1.00000000 0.00000000) *
##          29) symmetry_worst< -1.821274 2   1 B (0.50000000 0.50000000)  
##            58) texture_mean< 2.999972 1   0 B (1.00000000 0.00000000) *
##            59) texture_mean>=2.999972 1   0 M (0.00000000 1.00000000) *
##        15) compactness_se>=-4.557422 230  75 M (0.32608696 0.67391304)  
##          30) smoothness_worst>=-1.538309 186  75 M (0.40322581 0.59677419)  
##            60) smoothness_worst< -1.526111 24   0 B (1.00000000 0.00000000) *
##            61) smoothness_worst>=-1.526111 162  51 M (0.31481481 0.68518519)  
##             122) smoothness_mean>=-2.235862 27   8 B (0.70370370 0.29629630) *
##             123) smoothness_mean< -2.235862 135  32 M (0.23703704 0.76296296) *
##          31) smoothness_worst< -1.538309 44   0 M (0.00000000 1.00000000) *
## 
## $trees[[125]]
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 912 438 B (0.51973684 0.48026316)  
##     2) texture_mean< 2.960364 415 167 B (0.59759036 0.40240964)  
##       4) texture_worst< 4.737861 398 151 B (0.62060302 0.37939698)  
##         8) texture_mean>=2.938103 39   0 B (1.00000000 0.00000000) *
##         9) texture_mean< 2.938103 359 151 B (0.57938719 0.42061281)  
##          18) smoothness_mean>=-2.28574 102  25 B (0.75490196 0.24509804)  
##            36) texture_mean>=2.515298 94  17 B (0.81914894 0.18085106)  
##              72) compactness_se< -3.646366 47   0 B (1.00000000 0.00000000) *
##              73) compactness_se>=-3.646366 47  17 B (0.63829787 0.36170213) *
##            37) texture_mean< 2.515298 8   0 M (0.00000000 1.00000000) *
##          19) smoothness_mean< -2.28574 257 126 B (0.50972763 0.49027237)  
##            38) smoothness_mean< -2.468758 21   0 B (1.00000000 0.00000000) *
##            39) smoothness_mean>=-2.468758 236 110 M (0.46610169 0.53389831)  
##              78) smoothness_mean< -2.295113 217 107 B (0.50691244 0.49308756) *
##              79) smoothness_mean>=-2.295113 19   0 M (0.00000000 1.00000000) *
##       5) texture_worst>=4.737861 17   1 M (0.05882353 0.94117647)  
##        10) texture_mean< 2.883257 1   0 B (1.00000000 0.00000000) *
##        11) texture_mean>=2.883257 16   0 M (0.00000000 1.00000000) *
##     3) texture_mean>=2.960364 497 226 M (0.45472837 0.54527163)  
##       6) smoothness_mean< -2.258569 400 195 B (0.51250000 0.48750000)  
##        12) symmetry_worst< -1.888082 160  51 B (0.68125000 0.31875000)  
##          24) texture_worst< 4.914735 99  20 B (0.79797980 0.20202020)  
##            48) texture_worst>=4.644679 62   4 B (0.93548387 0.06451613)  
##              96) compactness_se< -2.72933 60   2 B (0.96666667 0.03333333) *
##              97) compactness_se>=-2.72933 2   0 M (0.00000000 1.00000000) *
##            49) texture_worst< 4.644679 37  16 B (0.56756757 0.43243243)  
##              98) texture_worst< 4.617454 27   7 B (0.74074074 0.25925926) *
##              99) texture_worst>=4.617454 10   1 M (0.10000000 0.90000000) *
##          25) texture_worst>=4.914735 61  30 M (0.49180328 0.50819672)  
##            50) smoothness_mean< -2.471478 17   0 B (1.00000000 0.00000000) *
##            51) smoothness_mean>=-2.471478 44  13 M (0.29545455 0.70454545)  
##             102) smoothness_mean>=-2.38576 17   5 B (0.70588235 0.29411765) *
##             103) smoothness_mean< -2.38576 27   1 M (0.03703704 0.96296296) *
##        13) symmetry_worst>=-1.888082 240  96 M (0.40000000 0.60000000)  
##          26) texture_mean>=3.026741 156  71 B (0.54487179 0.45512821)  
##            52) texture_mean< 3.065024 22   0 B (1.00000000 0.00000000) *
##            53) texture_mean>=3.065024 134  63 M (0.47014925 0.52985075)  
##             106) smoothness_mean< -2.333927 97  41 B (0.57731959 0.42268041) *
##             107) smoothness_mean>=-2.333927 37   7 M (0.18918919 0.81081081) *
##          27) texture_mean< 3.026741 84  11 M (0.13095238 0.86904762)  
##            54) compactness_se>=-2.807696 1   0 B (1.00000000 0.00000000) *
##            55) compactness_se< -2.807696 83  10 M (0.12048193 0.87951807)  
##             110) smoothness_mean>=-2.397787 47  10 M (0.21276596 0.78723404) *
##             111) smoothness_mean< -2.397787 36   0 M (0.00000000 1.00000000) *
##       7) smoothness_mean>=-2.258569 97  21 M (0.21649485 0.78350515)  
##        14) texture_mean< 3.019682 30  13 B (0.56666667 0.43333333)  
##          28) smoothness_worst< -1.435212 17   0 B (1.00000000 0.00000000) *
##          29) smoothness_worst>=-1.435212 13   0 M (0.00000000 1.00000000) *
##        15) texture_mean>=3.019682 67   4 M (0.05970149 0.94029851)  
##          30) smoothness_mean>=-2.094359 4   1 B (0.75000000 0.25000000)  
##            60) smoothness_mean< -2.05387 3   0 B (1.00000000 0.00000000) *
##            61) smoothness_mean>=-2.05387 1   0 M (0.00000000 1.00000000) *
##          31) smoothness_mean< -2.094359 63   1 M (0.01587302 0.98412698)  
##            62) compactness_se< -4.054302 1   0 B (1.00000000 0.00000000) *
##            63) compactness_se>=-4.054302 62   0 M (0.00000000 1.00000000) *
## 
## 
## $weights
##   [1] 1.0143223 0.8156954 0.7253179 0.8572783 0.7931766 0.4921119 0.5396895
##   [8] 0.6878156 0.5484304 0.6311616 0.8245811 0.6686733 0.4177894 0.7184680
##  [15] 0.6677146 0.5925237 0.4967338 0.4002084 0.6699806 0.6580825 0.7421271
##  [22] 0.5177381 0.6507856 0.2012352 0.6915966 0.7416772 0.5013178 0.5643993
##  [29] 0.5715592 0.9026129 0.6316908 0.8424984 0.4989962 0.3927049 0.3907305
##  [36] 0.5621977 0.5275124 0.3945128 0.4867822 0.5711406 0.3275888 0.5441193
##  [43] 0.3327058 0.4500716 0.6568917 0.5661411 0.4862615 0.5486251 0.4882063
##  [50] 0.4699027 0.5703551 0.3936770 0.6051525 0.4683981 0.5668974 0.4499463
##  [57] 0.5803123 0.6084994 0.5166307 0.6566097 0.5395386 0.6500444 0.7240253
##  [64] 0.5693986 0.4511421 0.5163830 0.6541372 0.5405753 0.7426574 0.5462003
##  [71] 0.3858154 0.4928489 0.4083089 0.2532136 0.5016779 0.4401827 0.6213793
##  [78] 0.5734207 0.4091727 0.5300695 0.6163140 0.5988878 0.4619950 0.6480373
##  [85] 0.4331158 0.8335631 0.4720525 0.5776981 0.5699686 0.6135262 0.6483225
##  [92] 0.6610500 0.6760883 0.5530124 0.5593497 0.3649073 0.2796540 0.7528346
##  [99] 0.7151565 0.6322978 0.5964053 0.7262538 0.4560816 0.4238904 0.5064141
## [106] 0.4923650 0.4531760 0.4269144 0.4499072 0.6073991 0.3850516 0.6148885
## [113] 0.6709185 0.7008150 0.5121583 0.6610996 0.5498543 0.4212923 0.6270177
## [120] 0.8721451 0.8116849 0.5359761 0.2629428 0.7941427 0.5340269
## 
## $votes
##            [,1]      [,2]
##   [1,] 17.74203 53.459379
##   [2,] 23.02907 48.172335
##   [3,] 15.59921 55.602197
##   [4,] 19.43944 51.761966
##   [5,] 20.83699 50.364422
##   [6,] 20.09669 51.104713
##   [7,] 18.63507 52.566336
##   [8,] 11.69258 59.508829
##   [9,] 21.62384 49.577569
##  [10,] 22.06499 49.136414
##  [11,] 20.88240 50.319004
##  [12,] 16.26463 54.936775
##  [13,] 14.22530 56.976111
##  [14,] 19.39381 51.807595
##  [15,] 16.14614 55.055270
##  [16,] 56.48211 14.719296
##  [17,] 58.03952 13.161885
##  [18,] 60.06820 11.133210
##  [19,] 21.34908 49.852327
##  [20,] 15.81453 55.386878
##  [21,] 20.78497 50.416438
##  [22,] 18.77806 52.423348
##  [23,] 21.62835 49.573053
##  [24,] 22.98843 48.212982
##  [25,] 16.64332 54.558091
##  [26,] 19.97708 51.224329
##  [27,] 51.57044 19.630966
##  [28,] 21.09572 50.105682
##  [29,] 20.87485 50.326559
##  [30,] 21.28818 49.913228
##  [31,] 19.27768 51.923723
##  [32,] 18.75369 52.447719
##  [33,] 20.08472 51.116688
##  [34,] 53.58562 17.615784
##  [35,] 16.83735 54.364053
##  [36,] 53.20181 17.999593
##  [37,] 55.04960 16.151802
##  [38,] 50.83363 20.367772
##  [39,] 21.59824 49.603166
##  [40,] 20.24136 50.960044
##  [41,] 53.08944 18.111970
##  [42,] 22.04936 49.152048
##  [43,] 14.40360 56.797802
##  [44,] 57.83026 13.371152
##  [45,] 61.72765  9.473759
##  [46,] 49.98270 21.218704
##  [47,] 57.17213 14.029277
##  [48,] 15.84879 55.352618
##  [49,] 51.37286 19.828547
##  [50,] 54.99011 16.211301
##  [51,] 49.39196 21.809445
##  [52,] 21.81838 49.383030
##  [53,] 19.32995 51.871459
##  [54,] 21.99930 49.202102
##  [55,] 51.91953 19.281878
##  [56,] 21.12520 50.076211
##  [57,] 16.61114 54.590262
##  [58,] 50.22031 20.981101
##  [59,] 50.85088 20.350530
##  [60,] 49.74410 21.457310
##  [61,] 19.70544 51.495963
##  [62,] 17.92893 53.272475
##  [63,] 49.28735 21.914061
##  [64,] 20.83889 50.362516
##  [65,] 22.20339 48.998019
##  [66,] 20.52430 50.677105
##  [67,] 49.54521 21.656192
##  [68,] 51.26784 19.933565
##  [69,] 50.68737 20.514042
##  [70,] 19.58860 51.612811
##  [71,] 59.96197 11.239440
##  [72,] 52.55931 18.642093
##  [73,] 20.47063 50.730774
##  [74,] 19.60113 51.600276
##  [75,] 51.11885 20.082558
##  [76,] 54.06632 17.135083
##  [77,] 21.23905 49.962355
##  [78,] 61.03765 10.163760
##  [79,] 50.77768 20.423731
##  [80,] 48.95887 22.242532
##  [81,] 49.72138 21.480029
##  [82,] 21.42848 49.772926
##  [83,] 49.83992 21.361492
##  [84,] 17.45643 53.744979
##  [85,] 49.39969 21.801714
##  [86,] 50.03171 21.169699
##  [87,] 50.62686 20.574552
##  [88,] 50.70530 20.496109
##  [89,] 52.80919 18.392222
##  [90,] 49.54118 21.660228
##  [91,] 50.08090 21.120511
##  [92,] 50.93777 20.263640
##  [93,] 19.63229 51.569114
##  [94,] 15.86887 55.332538
##  [95,] 20.50076 50.700648
##  [96,] 51.66993 19.531475
##  [97,] 19.02887 52.172538
##  [98,] 54.91720 16.284208
##  [99,] 51.75348 19.447926
## [100,] 21.25374 49.947665
## [101,] 21.63130 49.570104
## [102,] 52.15660 19.044803
## [103,] 20.12685 51.074560
## [104,] 51.57347 19.627936
## [105,] 22.43856 48.762843
## [106,] 16.44284 54.758567
## [107,] 53.49661 17.704799
## [108,] 20.02565 51.175755
## [109,] 53.20586 17.995545
## [110,] 51.41880 19.782605
## [111,] 20.67925 50.522153
## [112,] 53.09968 18.101724
## [113,] 56.79003 14.411381
## [114,] 22.21422 48.987189
## [115,] 57.17154 14.029862
## [116,] 53.11358 18.087823
## [117,] 18.11326 53.088150
## [118,] 51.55620 19.645210
## [119,] 52.88552 18.315891
## [120,] 54.15598 17.045429
## [121,] 49.68578 21.515631
## [122,] 61.72557  9.475839
## [123,] 49.86608 21.335324
## [124,] 51.38271 19.818700
## [125,] 50.38730 20.814104
## [126,] 55.01387 16.187537
## [127,] 60.09495 11.106453
## [128,] 49.60929 21.592118
## [129,] 21.67846 49.522952
## [130,] 21.24081 49.960594
## [131,] 50.15099 21.050417
## [132,] 20.29109 50.910320
## [133,] 51.11911 20.082297
## [134,] 21.20036 50.001049
## [135,] 19.35450 51.846904
## [136,] 54.80507 16.396341
## [137,] 22.31902 48.882387
## [138,] 55.55014 15.651262
## [139,] 59.16296 12.038444
## [140,] 51.05110 20.150303
## [141,] 20.77476 50.426644
## [142,] 57.62638 13.575023
## [143,] 61.17232 10.029083
## [144,] 13.58530 57.616104
## [145,] 20.52730 50.674112
## [146,] 53.02431 18.177094
## [147,] 22.37663 48.824779
## [148,] 54.76723 16.434180
## [149,] 52.86197 18.339436
## [150,] 53.03184 18.169567
## [151,] 15.99960 55.201805
## [152,] 52.34799 18.853422
## [153,] 53.62358 17.577826
## [154,] 17.17066 54.030748
## [155,] 51.89709 19.304321
## [156,] 16.30596 54.895448
## [157,] 20.85190 50.349506
## [158,] 20.45448 50.746929
## [159,] 48.97275 22.228661
## [160,] 21.94506 49.256351
## [161,] 15.41830 55.783104
## [162,] 19.44844 51.752966
## [163,] 49.58374 21.617667
## [164,] 22.37943 48.821975
## [165,] 53.19271 18.008699
## [166,] 21.29243 49.908974
## [167,] 48.87988 22.321523
## [168,] 61.74256  9.458844
## [169,] 19.45901 51.742395
## [170,] 50.81466 20.386745
## [171,] 19.56805 51.633360
## [172,] 20.80876 50.392647
## [173,] 50.00066 21.200747
## [174,] 53.02061 18.180792
## [175,] 20.04132 51.160083
## [176,] 52.05084 19.150569
## [177,] 50.71107 20.490337
## [178,] 20.02680 51.174609
## [179,] 51.55171 19.649702
## [180,] 60.39961 10.801798
## [181,] 51.22331 19.978096
## [182,] 51.15948 20.041926
## [183,] 20.21682 50.984590
## [184,] 53.65559 17.545819
## [185,] 52.07209 19.129312
## [186,] 22.47247 48.728936
## [187,] 52.39495 18.806454
## [188,] 50.27669 20.924720
## [189,] 51.54158 19.659826
## [190,] 20.89918 50.302231
## [191,] 52.55294 18.648466
## [192,] 59.27788 11.923527
## [193,] 48.97151 22.229895
## [194,] 49.92525 21.276158
## [195,] 20.08838 51.113027
## [196,] 50.58817 20.613240
## [197,] 51.52157 19.679837
## [198,] 49.57098 21.630422
## [199,] 54.69160 16.509810
## [200,] 18.18261 53.018800
## [201,] 20.31474 50.886671
## [202,] 22.41114 48.790271
## [203,] 20.60757 50.593840
## [204,] 21.71404 49.487366
## [205,] 21.49466 49.706750
## [206,] 20.65730 50.544106
## [207,] 16.13030 55.071105
## [208,] 19.63620 51.565211
## [209,] 21.42391 49.777495
## [210,] 20.46206 50.739351
## [211,] 49.43901 21.762397
## [212,] 58.29931 12.902095
## [213,] 52.34985 18.851562
## [214,] 50.16333 21.038077
## [215,] 57.76300 13.438405
## [216,] 21.27248 49.928931
## [217,] 50.50371 20.697701
## [218,] 20.85344 50.347967
## [219,] 58.03826 13.163144
## [220,] 53.21442 17.986984
## [221,] 20.68515 50.516262
## [222,] 56.56403 14.637376
## [223,] 18.38452 52.816887
## [224,] 58.53153 12.669875
## [225,] 20.33244 50.868965
## [226,] 22.02550 49.175907
## [227,] 60.00368 11.197732
## [228,] 56.66143 14.539976
## [229,] 50.30701 20.894400
## [230,] 63.72160  7.479810
## [231,] 50.42846 20.772944
## [232,] 49.36974 21.831665
## [233,] 53.99711 17.204300
## [234,] 50.06014 21.141267
## [235,] 48.71787 22.483535
## [236,] 50.11469 21.086715
## [237,] 60.87812 10.323290
## [238,] 55.62075 15.580660
## [239,] 59.19861 12.002798
## [240,] 22.51564 48.685765
## [241,] 56.22261 14.978797
## [242,] 51.02793 20.173477
## [243,] 20.13841 51.062999
## [244,] 50.57785 20.623560
## [245,] 21.00906 50.192349
## [246,] 53.67240 17.529007
## [247,] 51.97656 19.224843
## [248,] 57.25361 13.947800
## [249,] 61.23359  9.967816
## [250,] 63.75887  7.442537
## [251,] 64.67263  6.528779
## [252,] 62.94627  8.255136
## [253,] 50.29129 20.910117
## [254,] 54.91360 16.287807
## [255,] 55.44180 15.759607
## [256,] 21.52146 49.679943
## [257,] 50.41401 20.787402
## [258,] 52.52925 18.672160
## [259,] 49.40963 21.791777
## [260,] 22.29224 48.909167
## [261,] 53.61578 17.585631
## [262,] 13.17095 58.030459
## [263,] 51.18273 20.018678
## [264,] 52.39270 18.808707
## [265,] 19.64768 51.553724
## [266,] 22.15297 49.048432
## [267,] 50.10502 21.096392
## [268,] 49.37503 21.826379
## [269,] 52.19319 19.008215
## [270,] 22.43475 48.766662
## [271,] 53.24675 17.954660
## [272,] 49.88793 21.313479
## [273,] 20.80326 50.398147
## [274,] 49.79390 21.407510
## [275,] 51.57396 19.627451
## [276,] 50.75173 20.449672
## [277,] 17.83403 53.367381
## [278,] 58.11758 13.083831
## [279,] 52.80601 18.395399
## [280,] 49.73593 21.465473
## [281,] 55.26019 15.941219
## [282,] 56.22959 14.971814
## [283,] 51.88184 19.319565
## [284,] 56.80221 14.399197
## [285,] 17.73256 53.468850
## [286,] 17.90833 53.293076
## [287,] 20.02193 51.179475
## [288,] 55.69896 15.502449
## [289,] 57.84889 13.352519
## [290,] 51.17588 20.025524
## [291,] 52.27228 18.929127
## [292,] 57.34114 13.860265
## [293,] 51.29234 19.909064
## [294,] 50.09415 21.107262
## [295,] 51.23506 19.966344
## [296,] 20.81728 50.384129
## [297,] 17.69156 53.509846
## [298,] 21.92721 49.274195
## [299,] 20.68606 50.515344
## [300,] 12.52366 58.677749
## [301,] 56.67316 14.528246
## [302,] 22.38852 48.812892
## [303,] 54.70319 16.498221
## [304,] 54.31802 16.883389
## [305,] 51.20739 19.994019
## [306,] 50.20781 20.993595
## [307,] 50.68111 20.520295
## [308,] 13.06482 58.136586
## [309,] 53.40474 17.796672
## [310,] 57.15531 14.046100
## [311,] 51.67320 19.528203
## [312,] 49.80744 21.393971
## [313,] 54.07734 17.124069
## [314,] 21.03702 50.164390
## [315,] 53.67239 17.529013
## [316,] 16.80553 54.395878
## [317,] 51.64329 19.558117
## [318,] 15.06284 56.138562
## [319,] 50.04279 21.158616
## [320,] 52.97177 18.229633
## [321,] 58.94443 12.256977
## [322,] 49.07499 22.126419
## [323,] 17.80671 53.394700
## [324,] 55.90832 15.293088
## [325,] 50.40417 20.797240
## [326,] 62.43167  8.769741
## [327,] 52.19539 19.006018
## [328,] 52.18518 19.016229
## [329,] 52.30260 18.898808
## [330,] 18.90629 52.295117
## [331,] 50.93324 20.268163
## [332,] 51.39460 19.806810
## [333,] 52.50955 18.691856
## [334,] 54.12366 17.077746
## [335,] 50.17838 21.023029
## [336,] 21.03842 50.162988
## [337,] 48.53803 22.663375
## [338,] 49.33400 21.867410
## [339,] 18.64630 52.555103
## [340,] 54.35540 16.846008
## [341,] 50.32642 20.874986
## [342,] 51.57300 19.628405
## [343,] 49.83316 21.368250
## [344,] 50.23856 20.962844
## [345,] 56.29191 14.909495
## [346,] 51.35318 19.848224
## [347,] 19.68964 51.511768
## [348,] 51.87032 19.331086
## [349,] 13.73644 57.464967
## [350,] 10.86117 60.340242
## [351,] 20.99644 50.204963
## [352,] 49.52784 21.673571
## [353,] 50.49166 20.709752
## [354,] 49.93789 21.263521
## [355,] 61.82040  9.381003
## [356,] 51.39564 19.805762
## [357,] 52.11154 19.089867
## [358,] 51.91113 19.290275
## [359,] 22.46924 48.732164
## [360,] 48.46177 22.739633
## [361,] 20.86787 50.333538
## [362,] 51.17166 20.029743
## [363,] 53.57648 17.624931
## [364,] 21.89829 49.303118
## [365,] 50.87863 20.322775
## [366,] 21.11467 50.086736
## [367,] 49.63464 21.566770
## [368,] 50.88951 20.311901
## [369,] 50.23006 20.971350
## [370,] 49.25440 21.947007
## [371,] 52.55568 18.645722
## [372,] 55.77293 15.428474
## [373,] 20.79986 50.401543
## [374,] 20.45955 50.741862
## [375,] 50.50090 20.700502
## [376,] 57.83956 13.361850
## [377,] 50.23278 20.968627
## [378,] 50.23365 20.967755
## [379,] 52.54357 18.657838
## [380,] 19.55035 51.651053
## [381,] 50.48793 20.713477
## [382,] 54.25591 16.945492
## [383,] 58.57498 12.626425
## [384,] 49.82658 21.374828
## [385,] 56.16562 15.035787
## [386,] 49.06932 22.132085
## [387,] 22.80507 48.396337
## [388,] 51.46403 19.737380
## [389,] 51.44185 19.759558
## [390,] 58.56939 12.632017
## [391,] 51.33717 19.864241
## [392,] 52.66150 18.539912
## [393,] 19.95313 51.248274
## [394,] 21.34349 49.857914
## [395,] 63.22985  7.971561
## [396,] 56.43047 14.770935
## [397,] 50.71540 20.486011
## [398,] 49.09288 22.108532
## [399,] 50.77855 20.422861
## [400,] 20.84521 50.356199
## [401,] 14.00838 57.193031
## [402,] 20.97316 50.228244
## [403,] 50.87958 20.321830
## [404,] 50.16123 21.040177
## [405,] 50.36063 20.840773
## [406,] 16.04190 55.159505
## [407,] 58.66375 12.537654
## [408,] 58.97223 12.229179
## [409,] 19.94992 51.251486
## [410,] 21.23050 49.970911
## [411,] 51.62839 19.573013
## [412,] 20.75336 50.448047
## [413,] 50.86034 20.341069
## [414,] 50.71985 20.481559
## [415,] 49.84071 21.360696
## [416,] 20.12375 51.077659
## [417,] 50.50840 20.693006
## [418,] 51.04418 20.157228
## [419,] 54.32419 16.877217
## [420,] 51.58912 19.612289
## [421,] 56.47722 14.724190
## [422,] 52.54240 18.659009
## [423,] 57.87167 13.329742
## [424,] 50.83565 20.365754
## [425,] 49.45046 21.750948
## [426,] 50.29249 20.908917
## [427,] 18.78804 52.413371
## [428,] 50.94170 20.259709
## [429,] 49.00873 22.192676
## [430,] 50.59324 20.608163
## [431,] 53.72245 17.478956
## [432,] 50.86987 20.331539
## [433,] 49.81422 21.387188
## [434,] 49.79286 21.408542
## [435,] 54.74829 16.453121
## [436,] 49.52612 21.675286
## [437,] 52.17446 19.026949
## [438,] 49.86468 21.336731
## [439,] 49.92555 21.275857
## [440,] 50.82794 20.373463
## [441,] 51.93503 19.266380
## [442,] 50.19509 21.006313
## [443,] 52.55655 18.644860
## [444,] 52.42582 18.775591
## [445,] 50.58199 20.619416
## [446,] 51.48540 19.716010
## [447,] 54.90918 16.292224
## [448,] 20.38170 50.819704
## [449,] 19.74286 51.458544
## [450,] 21.46643 49.734980
## [451,] 14.56916 56.632246
## [452,] 17.74203 53.459379
## [453,] 23.02907 48.172335
## [454,] 15.59921 55.602197
## [455,] 18.76761 52.433794
## [456,] 19.43944 51.761966
## [457,] 20.83699 50.364422
## [458,] 20.09669 51.104713
## [459,] 18.63507 52.566336
## [460,] 11.69258 59.508829
## [461,] 21.62384 49.577569
## [462,] 22.64758 48.553825
## [463,] 16.26463 54.936775
## [464,] 14.22530 56.976111
## [465,] 19.39381 51.807595
## [466,] 16.14614 55.055270
## [467,] 19.90854 51.292870
## [468,] 56.48211 14.719296
## [469,] 58.03952 13.161885
## [470,] 60.06820 11.133210
## [471,] 21.34908 49.852327
## [472,] 17.98899 53.212420
## [473,] 20.78497 50.416438
## [474,] 16.64332 54.558091
## [475,] 17.92346 53.277943
## [476,] 20.08330 51.118106
## [477,] 19.97708 51.224329
## [478,] 22.88904 48.312363
## [479,] 19.53952 51.661884
## [480,] 51.57044 19.630966
## [481,] 21.09572 50.105682
## [482,] 20.87485 50.326559
## [483,] 22.67482 48.526592
## [484,] 21.28818 49.913228
## [485,] 16.42099 54.780416
## [486,] 18.75369 52.447719
## [487,] 20.08472 51.116688
## [488,] 53.20181 17.999593
## [489,] 49.17807 22.023339
## [490,] 50.92803 20.273381
## [491,] 55.04960 16.151802
## [492,] 50.83363 20.367772
## [493,] 21.59824 49.603166
## [494,] 20.24136 50.960044
## [495,] 53.08944 18.111970
## [496,] 14.40360 56.797802
## [497,] 57.83026 13.371152
## [498,] 54.00830 17.193103
## [499,] 61.72765  9.473759
## [500,] 49.98270 21.218704
## [501,] 21.31643 49.884977
## [502,] 57.17213 14.029277
## [503,] 17.25268 53.948730
## [504,] 51.37286 19.828547
## [505,] 54.99011 16.211301
## [506,] 49.39196 21.809445
## [507,] 21.81838 49.383030
## [508,] 19.32995 51.871459
## [509,] 21.99930 49.202102
## [510,] 51.91953 19.281878
## [511,] 22.07283 49.128578
## [512,] 50.52962 20.671791
## [513,] 21.12520 50.076211
## [514,] 16.61114 54.590262
## [515,] 50.22031 20.981101
## [516,] 49.74410 21.457310
## [517,] 19.70544 51.495963
## [518,] 17.92893 53.272475
## [519,] 49.28735 21.914061
## [520,] 20.83889 50.362516
## [521,] 22.20339 48.998019
## [522,] 20.52430 50.677105
## [523,] 49.54521 21.656192
## [524,] 51.26784 19.933565
## [525,] 50.68737 20.514042
## [526,] 19.58860 51.612811
## [527,] 59.96197 11.239440
## [528,] 52.55931 18.642093
## [529,] 20.47063 50.730774
## [530,] 49.48322 21.718189
## [531,] 54.06632 17.135083
## [532,] 21.23905 49.962355
## [533,] 22.08038 49.121023
## [534,] 61.03765 10.163760
## [535,] 50.77768 20.423731
## [536,] 49.72138 21.480029
## [537,] 21.42848 49.772926
## [538,] 49.83992 21.361492
## [539,] 17.45643 53.744979
## [540,] 49.39969 21.801714
## [541,] 50.03171 21.169699
## [542,] 50.62686 20.574552
## [543,] 50.70530 20.496109
## [544,] 52.80919 18.392222
## [545,] 50.08090 21.120511
## [546,] 50.93777 20.263640
## [547,] 19.63229 51.569114
## [548,] 20.50076 50.700648
## [549,] 51.66993 19.531475
## [550,] 19.02887 52.172538
## [551,] 58.71789 12.483517
## [552,] 54.91720 16.284208
## [553,] 51.75348 19.447926
## [554,] 21.63130 49.570104
## [555,] 52.15660 19.044803
## [556,] 20.12685 51.074560
## [557,] 51.57347 19.627936
## [558,] 22.43856 48.762843
## [559,] 16.44284 54.758567
## [560,] 53.49661 17.704799
## [561,] 20.02565 51.175755
## [562,] 19.84814 51.353269
## [563,] 53.20586 17.995545
## [564,] 51.41880 19.782605
## [565,] 20.67925 50.522153
## [566,] 22.21422 48.987189
## [567,] 50.75921 20.442193
## [568,] 63.46514  7.736270
## [569,] 53.11358 18.087823
## [570,] 18.11326 53.088150
## [571,] 51.55620 19.645210
## [572,] 52.88552 18.315891
## [573,] 54.15598 17.045429
## [574,] 50.69965 20.501760
## [575,] 49.68578 21.515631
## [576,] 56.07022 15.131184
## [577,] 61.72557  9.475839
## [578,] 49.86608 21.335324
## [579,] 51.38271 19.818700
## [580,] 22.14508 49.056327
## [581,] 55.01387 16.187537
## [582,] 60.09495 11.106453
## [583,] 21.67846 49.522952
## [584,] 50.15099 21.050417
## [585,] 20.29109 50.910320
## [586,] 51.11911 20.082297
## [587,] 61.84588  9.355523
## [588,] 21.20036 50.001049
## [589,] 19.35450 51.846904
## [590,] 52.77851 18.422897
## [591,] 21.91328 49.288126
## [592,] 52.86327 18.338136
## [593,] 55.55014 15.651262
## [594,] 59.16296 12.038444
## [595,] 51.05110 20.150303
## [596,] 20.77476 50.426644
## [597,] 57.62638 13.575023
## [598,] 61.17232 10.029083
## [599,] 19.85272 51.348689
## [600,] 13.58530 57.616104
## [601,] 20.52730 50.674112
## [602,] 53.02431 18.177094
## [603,] 21.45926 49.742146
## [604,] 51.68747 19.513940
## [605,] 22.37663 48.824779
## [606,] 54.76723 16.434180
## [607,] 52.86197 18.339436
## [608,] 53.03184 18.169567
## [609,] 15.99960 55.201805
## [610,] 52.34799 18.853422
## [611,] 53.62358 17.577826
## [612,] 18.07603 53.125379
## [613,] 51.89709 19.304321
## [614,] 16.30596 54.895448
## [615,] 20.85190 50.349506
## [616,] 21.87942 49.321989
## [617,] 48.97275 22.228661
## [618,] 21.94506 49.256351
## [619,] 15.41830 55.783104
## [620,] 19.44844 51.752966
## [621,] 49.58374 21.617667
## [622,] 22.37943 48.821975
## [623,] 53.19271 18.008699
## [624,] 21.29243 49.908974
## [625,] 48.87988 22.321523
## [626,] 61.74256  9.458844
## [627,] 19.45901 51.742395
## [628,] 50.81466 20.386745
## [629,] 22.12051 49.080900
## [630,] 19.56805 51.633360
## [631,] 18.71805 52.483355
## [632,] 20.80876 50.392647
## [633,] 50.00066 21.200747
## [634,] 53.02061 18.180792
## [635,] 20.04132 51.160083
## [636,] 51.55171 19.649702
## [637,] 60.39961 10.801798
## [638,] 62.21012  8.991284
## [639,] 51.22331 19.978096
## [640,] 51.15948 20.041926
## [641,] 20.21682 50.984590
## [642,] 20.70038 50.501023
## [643,] 52.07209 19.129312
## [644,] 52.39495 18.806454
## [645,] 50.27669 20.924720
## [646,] 21.68026 49.521150
## [647,] 51.54158 19.659826
## [648,] 20.89918 50.302231
## [649,] 59.27788 11.923527
## [650,] 20.08838 51.113027
## [651,] 50.58817 20.613240
## [652,] 50.51737 20.684036
## [653,] 51.52157 19.679837
## [654,] 49.57098 21.630422
## [655,] 54.69160 16.509810
## [656,] 18.18261 53.018800
## [657,] 20.31474 50.886671
## [658,] 22.41114 48.790271
## [659,] 20.60757 50.593840
## [660,] 21.71404 49.487366
## [661,] 21.49466 49.706750
## [662,] 20.65730 50.544106
## [663,] 16.13030 55.071105
## [664,] 15.52190 55.679511
## [665,] 20.24886 50.952550
## [666,] 21.71536 49.486044
## [667,] 19.63620 51.565211
## [668,] 21.42391 49.777495
## [669,] 21.82107 49.380338
## [670,] 20.46206 50.739351
## [671,] 58.29931 12.902095
## [672,] 52.34985 18.851562
## [673,] 50.16333 21.038077
## [674,] 59.32577 11.875641
## [675,] 57.76300 13.438405
## [676,] 20.85344 50.347967
## [677,] 58.03826 13.163144
## [678,] 53.21442 17.986984
## [679,] 20.68515 50.516262
## [680,] 54.80027 16.401135
## [681,] 18.38452 52.816887
## [682,] 58.53153 12.669875
## [683,] 20.33244 50.868965
## [684,] 60.00368 11.197732
## [685,] 56.66143 14.539976
## [686,] 50.30701 20.894400
## [687,] 63.72160  7.479810
## [688,] 50.42846 20.772944
## [689,] 49.36974 21.831665
## [690,] 53.99711 17.204300
## [691,] 50.06014 21.141267
## [692,] 50.11469 21.086715
## [693,] 60.87812 10.323290
## [694,] 59.19861 12.002798
## [695,] 22.51564 48.685765
## [696,] 56.22261 14.978797
## [697,] 51.02793 20.173477
## [698,] 20.13841 51.062999
## [699,] 50.57785 20.623560
## [700,] 21.00906 50.192349
## [701,] 53.67240 17.529007
## [702,] 49.29051 21.910900
## [703,] 51.97656 19.224843
## [704,] 57.25361 13.947800
## [705,] 61.23359  9.967816
## [706,] 63.75887  7.442537
## [707,] 49.05177 22.149642
## [708,] 62.94627  8.255136
## [709,] 50.29129 20.910117
## [710,] 54.91360 16.287807
## [711,] 56.49580 14.705610
## [712,] 55.44180 15.759607
## [713,] 65.31066  5.890749
## [714,] 21.52146 49.679943
## [715,] 50.41401 20.787402
## [716,] 52.52925 18.672160
## [717,] 53.61578 17.585631
## [718,] 13.17095 58.030459
## [719,] 51.18273 20.018678
## [720,] 52.39270 18.808707
## [721,] 59.15911 12.042298
## [722,] 19.64768 51.553724
## [723,] 21.49983 49.701576
## [724,] 22.15297 49.048432
## [725,] 50.10502 21.096392
## [726,] 51.73127 19.470138
## [727,] 18.34473 52.856681
## [728,] 49.88793 21.313479
## [729,] 20.80326 50.398147
## [730,] 49.79390 21.407510
## [731,] 51.57396 19.627451
## [732,] 50.75173 20.449672
## [733,] 17.83403 53.367381
## [734,] 58.11758 13.083831
## [735,] 52.80601 18.395399
## [736,] 55.26019 15.941219
## [737,] 56.22959 14.971814
## [738,] 17.73256 53.468850
## [739,] 17.90833 53.293076
## [740,] 20.02193 51.179475
## [741,] 55.69896 15.502449
## [742,] 53.90690 17.294506
## [743,] 50.16032 21.041087
## [744,] 57.84889 13.352519
## [745,] 51.17588 20.025524
## [746,] 52.27228 18.929127
## [747,] 51.29234 19.909064
## [748,] 50.09415 21.107262
## [749,] 49.31597 21.885439
## [750,] 51.23506 19.966344
## [751,] 20.81728 50.384129
## [752,] 17.69156 53.509846
## [753,] 49.17087 22.030541
## [754,] 21.92721 49.274195
## [755,] 20.68606 50.515344
## [756,] 56.67316 14.528246
## [757,] 21.87171 49.329702
## [758,] 22.38852 48.812892
## [759,] 54.70319 16.498221
## [760,] 51.20739 19.994019
## [761,] 13.06482 58.136586
## [762,] 53.40474 17.796672
## [763,] 51.67320 19.528203
## [764,] 49.80744 21.393971
## [765,] 54.07734 17.124069
## [766,] 21.03702 50.164390
## [767,] 53.67239 17.529013
## [768,] 57.01133 14.190076
## [769,] 57.30097 13.900442
## [770,] 16.80553 54.395878
## [771,] 58.49451 12.706902
## [772,] 20.96749 50.233913
## [773,] 15.06284 56.138562
## [774,] 50.04279 21.158616
## [775,] 58.22372 12.977686
## [776,] 52.97177 18.229633
## [777,] 58.94443 12.256977
## [778,] 17.80671 53.394700
## [779,] 55.90832 15.293088
## [780,] 50.40417 20.797240
## [781,] 52.09090 19.110504
## [782,] 62.43167  8.769741
## [783,] 52.19539 19.006018
## [784,] 52.18518 19.016229
## [785,] 52.30260 18.898808
## [786,] 18.90629 52.295117
## [787,] 51.39460 19.806810
## [788,] 52.50955 18.691856
## [789,] 54.12366 17.077746
## [790,] 50.17838 21.023029
## [791,] 21.03842 50.162988
## [792,] 49.33400 21.867410
## [793,] 18.64630 52.555103
## [794,] 54.35540 16.846008
## [795,] 49.01769 22.183716
## [796,] 50.32642 20.874986
## [797,] 51.57300 19.628405
## [798,] 49.83316 21.368250
## [799,] 50.23856 20.962844
## [800,] 56.29191 14.909495
## [801,] 51.35318 19.848224
## [802,] 19.68964 51.511768
## [803,] 51.87032 19.331086
## [804,] 13.73644 57.464967
## [805,] 10.86117 60.340242
## [806,] 51.49953 19.701874
## [807,] 49.93789 21.263521
## [808,] 51.39564 19.805762
## [809,] 21.34705 49.854354
## [810,] 52.11154 19.089867
## [811,] 51.91113 19.290275
## [812,] 22.46924 48.732164
## [813,] 20.86787 50.333538
## [814,] 51.17166 20.029743
## [815,] 53.57648 17.624931
## [816,] 21.89829 49.303118
## [817,] 50.87863 20.322775
## [818,] 49.63464 21.566770
## [819,] 63.71572  7.485688
## [820,] 50.88951 20.311901
## [821,] 50.23006 20.971350
## [822,] 49.25440 21.947007
## [823,] 52.55568 18.645722
## [824,] 55.77293 15.428474
## [825,] 20.79986 50.401543
## [826,] 20.45955 50.741862
## [827,] 56.61834 14.583072
## [828,] 57.83956 13.361850
## [829,] 50.23278 20.968627
## [830,] 50.23365 20.967755
## [831,] 52.54357 18.657838
## [832,] 19.55035 51.651053
## [833,] 50.11801 21.083394
## [834,] 50.48793 20.713477
## [835,] 54.25591 16.945492
## [836,] 59.36823 11.833174
## [837,] 56.16562 15.035787
## [838,] 49.06932 22.132085
## [839,] 55.02668 16.174728
## [840,] 53.27053 17.930881
## [841,] 51.46403 19.737380
## [842,] 51.44185 19.759558
## [843,] 58.56939 12.632017
## [844,] 52.59167 18.609733
## [845,] 51.33717 19.864241
## [846,] 52.29017 18.911235
## [847,] 52.66150 18.539912
## [848,] 19.95313 51.248274
## [849,] 53.36527 17.836137
## [850,] 62.27504  8.926364
## [851,] 21.34349 49.857914
## [852,] 56.43047 14.770935
## [853,] 50.71540 20.486011
## [854,] 49.09288 22.108532
## [855,] 50.77855 20.422861
## [856,] 21.55464 49.646767
## [857,] 20.84521 50.356199
## [858,] 50.70764 20.493763
## [859,] 14.00838 57.193031
## [860,] 50.50591 20.695495
## [861,] 20.97316 50.228244
## [862,] 50.87958 20.321830
## [863,] 49.74089 21.460521
## [864,] 50.36063 20.840773
## [865,] 54.63792 16.563486
## [866,] 16.04190 55.159505
## [867,] 58.66375 12.537654
## [868,] 58.97223 12.229179
## [869,] 19.94992 51.251486
## [870,] 56.73877 14.462633
## [871,] 21.23050 49.970911
## [872,] 51.62839 19.573013
## [873,] 20.75336 50.448047
## [874,] 50.86034 20.341069
## [875,] 49.84071 21.360696
## [876,] 20.12375 51.077659
## [877,] 50.05203 21.149379
## [878,] 50.50840 20.693006
## [879,] 51.04418 20.157228
## [880,] 51.58912 19.612289
## [881,] 56.47722 14.724190
## [882,] 50.83565 20.365754
## [883,] 49.45046 21.750948
## [884,] 21.36987 49.831533
## [885,] 49.82248 21.378928
## [886,] 21.72254 49.478867
## [887,] 50.94170 20.259709
## [888,] 53.72245 17.478956
## [889,] 48.85093 22.350476
## [890,] 50.86987 20.331539
## [891,] 49.79286 21.408542
## [892,] 54.74829 16.453121
## [893,] 49.52612 21.675286
## [894,] 50.55626 20.645144
## [895,] 52.17446 19.026949
## [896,] 49.86468 21.336731
## [897,] 49.92555 21.275857
## [898,] 50.82794 20.373463
## [899,] 51.93503 19.266380
## [900,] 50.19509 21.006313
## [901,] 52.55655 18.644860
## [902,] 52.42582 18.775591
## [903,] 50.58199 20.619416
## [904,] 51.48540 19.716010
## [905,] 49.49080 21.710606
## [906,] 54.90918 16.292224
## [907,] 14.25077 56.950641
## [908,] 19.74286 51.458544
## [909,] 21.15091 50.050496
## [910,] 21.46643 49.734980
## [911,] 14.56916 56.632246
## [912,] 52.10919 19.092220
## 
## $prob
##             [,1]       [,2]
##   [1,] 0.2491809 0.75081914
##   [2,] 0.3234356 0.67656437
##   [3,] 0.2190857 0.78091430
##   [4,] 0.2730205 0.72697954
##   [5,] 0.2926485 0.70735149
##   [6,] 0.2822514 0.71774864
##   [7,] 0.2617234 0.73827664
##   [8,] 0.1642184 0.83578164
##   [9,] 0.3036996 0.69630040
##  [10,] 0.3098955 0.69010453
##  [11,] 0.2932864 0.70671362
##  [12,] 0.2284313 0.77156866
##  [13,] 0.1997895 0.80021047
##  [14,] 0.2723796 0.72762038
##  [15,] 0.2267671 0.77323289
##  [16,] 0.7932724 0.20672761
##  [17,] 0.8151457 0.18485428
##  [18,] 0.8436378 0.15636222
##  [19,] 0.2998407 0.70015930
##  [20,] 0.2221098 0.77789021
##  [21,] 0.2919180 0.70808204
##  [22,] 0.2637316 0.73626843
##  [23,] 0.3037630 0.69623699
##  [24,] 0.3228648 0.67713524
##  [25,] 0.2337498 0.76625018
##  [26,] 0.2805714 0.71942861
##  [27,] 0.7242896 0.27571037
##  [28,] 0.2962824 0.70371759
##  [29,] 0.2931803 0.70681973
##  [30,] 0.2989854 0.70101463
##  [31,] 0.2707486 0.72925136
##  [32,] 0.2633893 0.73661071
##  [33,] 0.2820832 0.71791683
##  [34,] 0.7525922 0.24740781
##  [35,] 0.2364750 0.76352497
##  [36,] 0.7472017 0.25279828
##  [37,] 0.7731533 0.22684667
##  [38,] 0.7139414 0.28605856
##  [39,] 0.3033401 0.69665991
##  [40,] 0.2842832 0.71571681
##  [41,] 0.7456234 0.25437657
##  [42,] 0.3096759 0.69032411
##  [43,] 0.2022938 0.79770618
##  [44,] 0.8122066 0.18779337
##  [45,] 0.8669442 0.13305579
##  [46,] 0.7019904 0.29800961
##  [47,] 0.8029635 0.19703651
##  [48,] 0.2225910 0.77740905
##  [49,] 0.7215147 0.27848532
##  [50,] 0.7723177 0.22768231
##  [51,] 0.6936936 0.30630638
##  [52,] 0.3064318 0.69356817
##  [53,] 0.2714827 0.72851733
##  [54,] 0.3089729 0.69102711
##  [55,] 0.7291925 0.27080754
##  [56,] 0.2966963 0.70330368
##  [57,] 0.2332980 0.76670202
##  [58,] 0.7053274 0.29467257
##  [59,] 0.7141836 0.28581640
##  [60,] 0.6986392 0.30136076
##  [61,] 0.2767564 0.72324361
##  [62,] 0.2518059 0.74819413
##  [63,] 0.6922243 0.30777567
##  [64,] 0.2926753 0.70732473
##  [65,] 0.3118392 0.68816082
##  [66,] 0.2882570 0.71174302
##  [67,] 0.6958460 0.30415399
##  [68,] 0.7200397 0.27996027
##  [69,] 0.7118871 0.28811287
##  [70,] 0.2751153 0.72488471
##  [71,] 0.8421458 0.15785419
##  [72,] 0.7381780 0.26182197
##  [73,] 0.2875032 0.71249679
##  [74,] 0.2752913 0.72470866
##  [75,] 0.7179472 0.28205282
##  [76,] 0.7593435 0.24065653
##  [77,] 0.2982954 0.70170460
##  [78,] 0.8572534 0.14274662
##  [79,] 0.7131555 0.28684448
##  [80,] 0.6876111 0.31238894
##  [81,] 0.6983202 0.30167983
##  [82,] 0.3009559 0.69904413
##  [83,] 0.6999850 0.30001503
##  [84,] 0.2451697 0.75483029
##  [85,] 0.6938022 0.30619779
##  [86,] 0.7026786 0.29732135
##  [87,] 0.7110373 0.28896271
##  [88,] 0.7121390 0.28786101
##  [89,] 0.7416874 0.25831262
##  [90,] 0.6957893 0.30421068
##  [91,] 0.7033695 0.29663053
##  [92,] 0.7154039 0.28459606
##  [93,] 0.2757290 0.72427099
##  [94,] 0.2228730 0.77712704
##  [95,] 0.2879263 0.71207368
##  [96,] 0.7256869 0.27431305
##  [97,] 0.2672541 0.73274588
##  [98,] 0.7712937 0.22870627
##  [99,] 0.7268604 0.27313964
## [100,] 0.2985017 0.70149828
## [101,] 0.3038044 0.69619556
## [102,] 0.7325221 0.26747790
## [103,] 0.2826748 0.71732515
## [104,] 0.7243322 0.27566781
## [105,] 0.3151421 0.68485786
## [106,] 0.2309342 0.76906579
## [107,] 0.7513420 0.24865799
## [108,] 0.2812536 0.71874639
## [109,] 0.7472586 0.25274142
## [110,] 0.7221599 0.27784009
## [111,] 0.2904332 0.70956678
## [112,] 0.7457673 0.25423268
## [113,] 0.7975970 0.20240303
## [114,] 0.3119913 0.68800872
## [115,] 0.8029553 0.19704473
## [116,] 0.7459626 0.25403744
## [117,] 0.2543947 0.74560535
## [118,] 0.7240896 0.27591041
## [119,] 0.7427594 0.25724058
## [120,] 0.7606026 0.23939736
## [121,] 0.6978201 0.30217986
## [122,] 0.8669150 0.13308500
## [123,] 0.7003525 0.29964750
## [124,] 0.7216530 0.27834703
## [125,] 0.7076729 0.29232715
## [126,] 0.7726514 0.22734856
## [127,] 0.8440136 0.15598642
## [128,] 0.6967459 0.30325409
## [129,] 0.3044667 0.69553333
## [130,] 0.2983201 0.70167987
## [131,] 0.7043539 0.29564608
## [132,] 0.2849815 0.71501845
## [133,] 0.7179508 0.28204916
## [134,] 0.2977520 0.70224805
## [135,] 0.2718275 0.72817247
## [136,] 0.7697189 0.23028114
## [137,] 0.3134632 0.68653681
## [138,] 0.7801832 0.21981675
## [139,] 0.8309241 0.16907593
## [140,] 0.7169957 0.28300428
## [141,] 0.2917746 0.70822538
## [142,] 0.8093433 0.19065667
## [143,] 0.8591449 0.14085513
## [144,] 0.1908011 0.80919895
## [145,] 0.2882990 0.71170099
## [146,] 0.7447088 0.25529122
## [147,] 0.3142723 0.68572773
## [148,] 0.7691874 0.23081257
## [149,] 0.7424287 0.25757125
## [150,] 0.7448145 0.25518550
## [151,] 0.2247091 0.77529092
## [152,] 0.7352100 0.26479002
## [153,] 0.7531253 0.24687470
## [154,] 0.2411562 0.75884382
## [155,] 0.7288773 0.27112274
## [156,] 0.2290117 0.77098825
## [157,] 0.2928580 0.70714201
## [158,] 0.2872763 0.71272369
## [159,] 0.6878059 0.31219412
## [160,] 0.3082110 0.69178901
## [161,] 0.2165449 0.78345507
## [162,] 0.2731469 0.72685313
## [163,] 0.6963871 0.30361292
## [164,] 0.3143117 0.68568834
## [165,] 0.7470738 0.25292617
## [166,] 0.2990451 0.70095489
## [167,] 0.6865017 0.31349834
## [168,] 0.8671537 0.13284631
## [169,] 0.2732953 0.72670466
## [170,] 0.7136750 0.28632503
## [171,] 0.2748267 0.72517330
## [172,] 0.2922521 0.70774791
## [173,] 0.7022426 0.29775742
## [174,] 0.7446568 0.25534316
## [175,] 0.2814737 0.71852629
## [176,] 0.7310367 0.26896335
## [177,] 0.7122200 0.28777995
## [178,] 0.2812697 0.71873031
## [179,] 0.7240265 0.27597350
## [180,] 0.8482924 0.15170764
## [181,] 0.7194143 0.28058570
## [182,] 0.7185178 0.28148217
## [183,] 0.2839385 0.71606155
## [184,] 0.7535748 0.24642517
## [185,] 0.7313352 0.26866481
## [186,] 0.3156184 0.68438164
## [187,] 0.7358696 0.26413038
## [188,] 0.7061193 0.29388071
## [189,] 0.7238843 0.27611570
## [190,] 0.2935220 0.70647804
## [191,] 0.7380885 0.26191148
## [192,] 0.8325380 0.16746196
## [193,] 0.6877885 0.31221146
## [194,] 0.7011835 0.29881653
## [195,] 0.2821346 0.71786540
## [196,] 0.7104939 0.28950608
## [197,] 0.7236033 0.27639674
## [198,] 0.6962079 0.30379206
## [199,] 0.7681252 0.23187476
## [200,] 0.2553687 0.74463134
## [201,] 0.2853137 0.71468631
## [202,] 0.3147569 0.68524308
## [203,] 0.2894264 0.71057360
## [204,] 0.3049665 0.69503354
## [205,] 0.3018853 0.69811472
## [206,] 0.2901249 0.70987510
## [207,] 0.2265447 0.77345529
## [208,] 0.2757838 0.72421617
## [209,] 0.3008917 0.69910831
## [210,] 0.2873827 0.71261725
## [211,] 0.6943544 0.30564560
## [212,] 0.8187944 0.18120562
## [213,] 0.7352361 0.26476389
## [214,] 0.7045272 0.29547277
## [215,] 0.8112621 0.18873791
## [216,] 0.2987648 0.70123517
## [217,] 0.7093077 0.29069230
## [218,] 0.2928796 0.70712039
## [219,] 0.8151280 0.18487196
## [220,] 0.7473788 0.25262119
## [221,] 0.2905160 0.70948404
## [222,] 0.7944229 0.20557706
## [223,] 0.2582045 0.74179555
## [224,] 0.8220558 0.17794416
## [225,] 0.2855624 0.71443763
## [226,] 0.3093408 0.69065920
## [227,] 0.8427316 0.15726841
## [228,] 0.7957909 0.20420911
## [229,] 0.7065451 0.29345488
## [230,] 0.8949486 0.10505144
## [231,] 0.7082509 0.29174906
## [232,] 0.6933816 0.30661845
## [233,] 0.7583713 0.24162866
## [234,] 0.7030780 0.29692204
## [235,] 0.6842263 0.31577375
## [236,] 0.7038441 0.29615588
## [237,] 0.8550128 0.14498716
## [238,] 0.7811748 0.21882517
## [239,] 0.8314247 0.16857529
## [240,] 0.3162247 0.68377532
## [241,] 0.7896278 0.21037220
## [242,] 0.7166703 0.28332975
## [243,] 0.2828372 0.71716278
## [244,] 0.7103490 0.28965102
## [245,] 0.2950652 0.70493479
## [246,] 0.7538109 0.24618905
## [247,] 0.7299935 0.27000651
## [248,] 0.8041078 0.19589220
## [249,] 0.8600053 0.13999466
## [250,] 0.8954720 0.10452795
## [251,] 0.9083055 0.09169453
## [252,] 0.8840594 0.11594063
## [253,] 0.7063244 0.29367562
## [254,] 0.7712432 0.22875681
## [255,] 0.7786616 0.22133842
## [256,] 0.3022618 0.69773822
## [257,] 0.7080479 0.29195212
## [258,] 0.7377557 0.26224426
## [259,] 0.6939418 0.30605824
## [260,] 0.3130871 0.68691292
## [261,] 0.7530157 0.24698432
## [262,] 0.1849816 0.81501843
## [263,] 0.7188444 0.28115565
## [264,] 0.7358380 0.26416201
## [265,] 0.2759451 0.72405485
## [266,] 0.3111311 0.68886886
## [267,] 0.7037082 0.29629178
## [268,] 0.6934558 0.30654421
## [269,] 0.7330360 0.26696403
## [270,] 0.3150885 0.68491149
## [271,] 0.7478328 0.25216721
## [272,] 0.7006593 0.29934070
## [273,] 0.2921748 0.70782516
## [274,] 0.6993387 0.30066133
## [275,] 0.7243390 0.27566100
## [276,] 0.7127912 0.28720882
## [277,] 0.2504729 0.74952706
## [278,] 0.8162420 0.18375804
## [279,] 0.7416428 0.25835724
## [280,] 0.6985246 0.30147540
## [281,] 0.7761109 0.22388910
## [282,] 0.7897259 0.21027413
## [283,] 0.7286632 0.27133684
## [284,] 0.7977681 0.20223192
## [285,] 0.2490478 0.75095215
## [286,] 0.2515165 0.74848347
## [287,] 0.2812014 0.71879864
## [288,] 0.7822733 0.21772672
## [289,] 0.8124683 0.18753167
## [290,] 0.7187482 0.28125181
## [291,] 0.7341467 0.26585326
## [292,] 0.8053372 0.19466280
## [293,] 0.7203838 0.27961616
## [294,] 0.7035556 0.29644445
## [295,] 0.7195794 0.28042064
## [296,] 0.2923717 0.70762828
## [297,] 0.2484721 0.75152792
## [298,] 0.3079604 0.69203963
## [299,] 0.2905289 0.70947114
## [300,] 0.1758906 0.82410941
## [301,] 0.7959556 0.20404437
## [302,] 0.3144392 0.68556078
## [303,] 0.7682880 0.23171201
## [304,] 0.7628784 0.23712156
## [305,] 0.7191907 0.28080932
## [306,] 0.7051520 0.29484804
## [307,] 0.7117993 0.28820070
## [308,] 0.1834910 0.81650895
## [309,] 0.7500517 0.24994832
## [310,] 0.8027272 0.19727279
## [311,] 0.7257329 0.27426710
## [312,] 0.6995288 0.30047119
## [313,] 0.7594982 0.24050183
## [314,] 0.2954579 0.70454212
## [315,] 0.7538109 0.24618914
## [316,] 0.2360280 0.76397195
## [317,] 0.7253128 0.27468723
## [318,] 0.2115526 0.78844737
## [319,] 0.7028343 0.29716570
## [320,] 0.7439709 0.25602911
## [321,] 0.8278549 0.17214515
## [322,] 0.6892418 0.31075816
## [323,] 0.2500893 0.74991074
## [324,] 0.7852137 0.21478632
## [325,] 0.7079097 0.29209030
## [326,] 0.8768319 0.12316809
## [327,] 0.7330668 0.26693318
## [328,] 0.7329234 0.26707659
## [329,] 0.7345725 0.26542745
## [330,] 0.2655325 0.73446747
## [331,] 0.7153404 0.28465958
## [332,] 0.7218200 0.27818003
## [333,] 0.7374791 0.26252088
## [334,] 0.7601488 0.23985124
## [335,] 0.7047386 0.29526143
## [336,] 0.2954776 0.70452242
## [337,] 0.6817005 0.31829954
## [338,] 0.6928795 0.30712047
## [339,] 0.2618811 0.73811889
## [340,] 0.7634034 0.23659656
## [341,] 0.7068178 0.29318222
## [342,] 0.7243256 0.27567440
## [343,] 0.6998901 0.30010994
## [344,] 0.7055839 0.29441614
## [345,] 0.7906011 0.20939889
## [346,] 0.7212383 0.27876168
## [347,] 0.2765344 0.72346559
## [348,] 0.7285013 0.27149866
## [349,] 0.1929237 0.80707628
## [350,] 0.1525414 0.84745856
## [351,] 0.2948880 0.70511195
## [352,] 0.6956019 0.30439807
## [353,] 0.7091384 0.29086155
## [354,] 0.7013609 0.29863905
## [355,] 0.8682469 0.13175306
## [356,] 0.7218347 0.27816532
## [357,] 0.7318892 0.26811081
## [358,] 0.7290745 0.27092548
## [359,] 0.3155730 0.68442698
## [360,] 0.6806294 0.31937055
## [361,] 0.2930823 0.70691775
## [362,] 0.7186889 0.28131106
## [363,] 0.7524637 0.24753628
## [364,] 0.3075542 0.69244584
## [365,] 0.7145734 0.28542659
## [366,] 0.2965485 0.70345149
## [367,] 0.6971019 0.30289809
## [368,] 0.7147261 0.28527387
## [369,] 0.7054644 0.29453562
## [370,] 0.6917616 0.30823838
## [371,] 0.7381271 0.26187294
## [372,] 0.7833122 0.21668777
## [373,] 0.2921271 0.70787285
## [374,] 0.2873475 0.71265251
## [375,] 0.7092684 0.29073165
## [376,] 0.8123373 0.18766272
## [377,] 0.7055026 0.29449737
## [378,] 0.7055149 0.29448512
## [379,] 0.7379569 0.26204311
## [380,] 0.2745782 0.72542179
## [381,] 0.7090861 0.29091387
## [382,] 0.7620062 0.23799379
## [383,] 0.8226661 0.17733392
## [384,] 0.6997977 0.30020233
## [385,] 0.7888274 0.21117260
## [386,] 0.6891623 0.31083774
## [387,] 0.3202896 0.67971040
## [388,] 0.7227951 0.27720492
## [389,] 0.7224836 0.27751640
## [390,] 0.8225875 0.17741246
## [391,] 0.7210134 0.27898663
## [392,] 0.7396131 0.26038687
## [393,] 0.2802351 0.71976490
## [394,] 0.2997622 0.70023776
## [395,] 0.8880421 0.11195792
## [396,] 0.7925471 0.20745285
## [397,] 0.7122808 0.28771918
## [398,] 0.6894930 0.31050695
## [399,] 0.7131677 0.28683226
## [400,] 0.2927640 0.70723601
## [401,] 0.1967430 0.80325704
## [402,] 0.2945611 0.70543892
## [403,] 0.7145867 0.28541332
## [404,] 0.7044977 0.29550227
## [405,] 0.7072983 0.29270171
## [406,] 0.2253032 0.77469684
## [407,] 0.8239128 0.17608716
## [408,] 0.8282453 0.17175473
## [409,] 0.2801900 0.71981002
## [410,] 0.2981752 0.70182476
## [411,] 0.7251036 0.27489643
## [412,] 0.2914740 0.70852598
## [413,] 0.7143165 0.28568353
## [414,] 0.7123433 0.28765667
## [415,] 0.6999962 0.30000385
## [416,] 0.2826313 0.71736868
## [417,] 0.7093736 0.29062637
## [418,] 0.7168985 0.28310154
## [419,] 0.7629651 0.23703488
## [420,] 0.7245520 0.27544805
## [421,] 0.7932037 0.20679634
## [422,] 0.7379404 0.26205955
## [423,] 0.8127882 0.18721177
## [424,] 0.7139698 0.28603021
## [425,] 0.6945152 0.30548481
## [426,] 0.7063412 0.29365876
## [427,] 0.2638717 0.73612830
## [428,] 0.7154591 0.28454086
## [429,] 0.6883113 0.31168873
## [430,] 0.7105652 0.28943476
## [431,] 0.7545139 0.24548611
## [432,] 0.7144503 0.28554968
## [433,] 0.6996241 0.30037592
## [434,] 0.6993242 0.30067583
## [435,] 0.7689214 0.23107859
## [436,] 0.6955778 0.30442216
## [437,] 0.7327728 0.26722715
## [438,] 0.7003327 0.29966727
## [439,] 0.7011877 0.29881230
## [440,] 0.7138615 0.28613849
## [441,] 0.7294101 0.27058987
## [442,] 0.7049733 0.29502665
## [443,] 0.7381392 0.26186084
## [444,] 0.7363031 0.26369691
## [445,] 0.7104072 0.28959282
## [446,] 0.7230952 0.27690478
## [447,] 0.7711811 0.22881886
## [448,] 0.2862542 0.71374579
## [449,] 0.2772819 0.72271808
## [450,] 0.3014888 0.69851119
## [451,] 0.2046190 0.79538100
## [452,] 0.2491809 0.75081914
## [453,] 0.3234356 0.67656437
## [454,] 0.2190857 0.78091430
## [455,] 0.2635849 0.73641514
## [456,] 0.2730205 0.72697954
## [457,] 0.2926485 0.70735149
## [458,] 0.2822514 0.71774864
## [459,] 0.2617234 0.73827664
## [460,] 0.1642184 0.83578164
## [461,] 0.3036996 0.69630040
## [462,] 0.3180777 0.68192227
## [463,] 0.2284313 0.77156866
## [464,] 0.1997895 0.80021047
## [465,] 0.2723796 0.72762038
## [466,] 0.2267671 0.77323289
## [467,] 0.2796088 0.72039124
## [468,] 0.7932724 0.20672761
## [469,] 0.8151457 0.18485428
## [470,] 0.8436378 0.15636222
## [471,] 0.2998407 0.70015930
## [472,] 0.2526493 0.74735068
## [473,] 0.2919180 0.70808204
## [474,] 0.2337498 0.76625018
## [475,] 0.2517291 0.74827093
## [476,] 0.2820633 0.71793673
## [477,] 0.2805714 0.71942861
## [478,] 0.3214690 0.67853101
## [479,] 0.2744261 0.72557392
## [480,] 0.7242896 0.27571037
## [481,] 0.2962824 0.70371759
## [482,] 0.2931803 0.70681973
## [483,] 0.3184602 0.68153979
## [484,] 0.2989854 0.70101463
## [485,] 0.2306273 0.76937266
## [486,] 0.2633893 0.73661071
## [487,] 0.2820832 0.71791683
## [488,] 0.7472017 0.25279828
## [489,] 0.6906895 0.30931045
## [490,] 0.7152671 0.28473287
## [491,] 0.7731533 0.22684667
## [492,] 0.7139414 0.28605856
## [493,] 0.3033401 0.69665991
## [494,] 0.2842832 0.71571681
## [495,] 0.7456234 0.25437657
## [496,] 0.2022938 0.79770618
## [497,] 0.8122066 0.18779337
## [498,] 0.7585286 0.24147139
## [499,] 0.8669442 0.13305579
## [500,] 0.7019904 0.29800961
## [501,] 0.2993822 0.70061785
## [502,] 0.8029635 0.19703651
## [503,] 0.2423081 0.75769191
## [504,] 0.7215147 0.27848532
## [505,] 0.7723177 0.22768231
## [506,] 0.6936936 0.30630638
## [507,] 0.3064318 0.69356817
## [508,] 0.2714827 0.72851733
## [509,] 0.3089729 0.69102711
## [510,] 0.7291925 0.27080754
## [511,] 0.3100055 0.68999448
## [512,] 0.7096716 0.29032841
## [513,] 0.2966963 0.70330368
## [514,] 0.2332980 0.76670202
## [515,] 0.7053274 0.29467257
## [516,] 0.6986392 0.30136076
## [517,] 0.2767564 0.72324361
## [518,] 0.2518059 0.74819413
## [519,] 0.6922243 0.30777567
## [520,] 0.2926753 0.70732473
## [521,] 0.3118392 0.68816082
## [522,] 0.2882570 0.71174302
## [523,] 0.6958460 0.30415399
## [524,] 0.7200397 0.27996027
## [525,] 0.7118871 0.28811287
## [526,] 0.2751153 0.72488471
## [527,] 0.8421458 0.15785419
## [528,] 0.7381780 0.26182197
## [529,] 0.2875032 0.71249679
## [530,] 0.6949753 0.30502471
## [531,] 0.7593435 0.24065653
## [532,] 0.2982954 0.70170460
## [533,] 0.3101116 0.68988837
## [534,] 0.8572534 0.14274662
## [535,] 0.7131555 0.28684448
## [536,] 0.6983202 0.30167983
## [537,] 0.3009559 0.69904413
## [538,] 0.6999850 0.30001503
## [539,] 0.2451697 0.75483029
## [540,] 0.6938022 0.30619779
## [541,] 0.7026786 0.29732135
## [542,] 0.7110373 0.28896271
## [543,] 0.7121390 0.28786101
## [544,] 0.7416874 0.25831262
## [545,] 0.7033695 0.29663053
## [546,] 0.7154039 0.28459606
## [547,] 0.2757290 0.72427099
## [548,] 0.2879263 0.71207368
## [549,] 0.7256869 0.27431305
## [550,] 0.2672541 0.73274588
## [551,] 0.8246732 0.17532683
## [552,] 0.7712937 0.22870627
## [553,] 0.7268604 0.27313964
## [554,] 0.3038044 0.69619556
## [555,] 0.7325221 0.26747790
## [556,] 0.2826748 0.71732515
## [557,] 0.7243322 0.27566781
## [558,] 0.3151421 0.68485786
## [559,] 0.2309342 0.76906579
## [560,] 0.7513420 0.24865799
## [561,] 0.2812536 0.71874639
## [562,] 0.2787605 0.72123953
## [563,] 0.7472586 0.25274142
## [564,] 0.7221599 0.27784009
## [565,] 0.2904332 0.70956678
## [566,] 0.3119913 0.68800872
## [567,] 0.7128962 0.28710378
## [568,] 0.8913467 0.10865333
## [569,] 0.7459626 0.25403744
## [570,] 0.2543947 0.74560535
## [571,] 0.7240896 0.27591041
## [572,] 0.7427594 0.25724058
## [573,] 0.7606026 0.23939736
## [574,] 0.7120596 0.28794038
## [575,] 0.6978201 0.30217986
## [576,] 0.7874876 0.21251242
## [577,] 0.8669150 0.13308500
## [578,] 0.7003525 0.29964750
## [579,] 0.7216530 0.27834703
## [580,] 0.3110203 0.68897974
## [581,] 0.7726514 0.22734856
## [582,] 0.8440136 0.15598642
## [583,] 0.3044667 0.69553333
## [584,] 0.7043539 0.29564608
## [585,] 0.2849815 0.71501845
## [586,] 0.7179508 0.28204916
## [587,] 0.8686048 0.13139520
## [588,] 0.2977520 0.70224805
## [589,] 0.2718275 0.72817247
## [590,] 0.7412566 0.25874344
## [591,] 0.3077647 0.69223528
## [592,] 0.7424470 0.25755300
## [593,] 0.7801832 0.21981675
## [594,] 0.8309241 0.16907593
## [595,] 0.7169957 0.28300428
## [596,] 0.2917746 0.70822538
## [597,] 0.8093433 0.19065667
## [598,] 0.8591449 0.14085513
## [599,] 0.2788248 0.72117520
## [600,] 0.1908011 0.80919895
## [601,] 0.2882990 0.71170099
## [602,] 0.7447088 0.25529122
## [603,] 0.3013882 0.69861183
## [604,] 0.7259332 0.27406677
## [605,] 0.3142723 0.68572773
## [606,] 0.7691874 0.23081257
## [607,] 0.7424287 0.25757125
## [608,] 0.7448145 0.25518550
## [609,] 0.2247091 0.77529092
## [610,] 0.7352100 0.26479002
## [611,] 0.7531253 0.24687470
## [612,] 0.2538718 0.74612822
## [613,] 0.7288773 0.27112274
## [614,] 0.2290117 0.77098825
## [615,] 0.2928580 0.70714201
## [616,] 0.3072891 0.69271088
## [617,] 0.6878059 0.31219412
## [618,] 0.3082110 0.69178901
## [619,] 0.2165449 0.78345507
## [620,] 0.2731469 0.72685313
## [621,] 0.6963871 0.30361292
## [622,] 0.3143117 0.68568834
## [623,] 0.7470738 0.25292617
## [624,] 0.2990451 0.70095489
## [625,] 0.6865017 0.31349834
## [626,] 0.8671537 0.13284631
## [627,] 0.2732953 0.72670466
## [628,] 0.7136750 0.28632503
## [629,] 0.3106751 0.68932486
## [630,] 0.2748267 0.72517330
## [631,] 0.2628888 0.73711120
## [632,] 0.2922521 0.70774791
## [633,] 0.7022426 0.29775742
## [634,] 0.7446568 0.25534316
## [635,] 0.2814737 0.71852629
## [636,] 0.7240265 0.27597350
## [637,] 0.8482924 0.15170764
## [638,] 0.8737204 0.12627958
## [639,] 0.7194143 0.28058570
## [640,] 0.7185178 0.28148217
## [641,] 0.2839385 0.71606155
## [642,] 0.2907300 0.70927002
## [643,] 0.7313352 0.26866481
## [644,] 0.7358696 0.26413038
## [645,] 0.7061193 0.29388071
## [646,] 0.3044920 0.69550803
## [647,] 0.7238843 0.27611570
## [648,] 0.2935220 0.70647804
## [649,] 0.8325380 0.16746196
## [650,] 0.2821346 0.71786540
## [651,] 0.7104939 0.28950608
## [652,] 0.7094996 0.29050039
## [653,] 0.7236033 0.27639674
## [654,] 0.6962079 0.30379206
## [655,] 0.7681252 0.23187476
## [656,] 0.2553687 0.74463134
## [657,] 0.2853137 0.71468631
## [658,] 0.3147569 0.68524308
## [659,] 0.2894264 0.71057360
## [660,] 0.3049665 0.69503354
## [661,] 0.3018853 0.69811472
## [662,] 0.2901249 0.70987510
## [663,] 0.2265447 0.77345529
## [664,] 0.2179998 0.78200015
## [665,] 0.2843884 0.71561156
## [666,] 0.3049850 0.69501497
## [667,] 0.2757838 0.72421617
## [668,] 0.3008917 0.69910831
## [669,] 0.3064696 0.69353037
## [670,] 0.2873827 0.71261725
## [671,] 0.8187944 0.18120562
## [672,] 0.7352361 0.26476389
## [673,] 0.7045272 0.29547277
## [674,] 0.8332106 0.16678941
## [675,] 0.8112621 0.18873791
## [676,] 0.2928796 0.70712039
## [677,] 0.8151280 0.18487196
## [678,] 0.7473788 0.25262119
## [679,] 0.2905160 0.70948404
## [680,] 0.7696515 0.23034846
## [681,] 0.2582045 0.74179555
## [682,] 0.8220558 0.17794416
## [683,] 0.2855624 0.71443763
## [684,] 0.8427316 0.15726841
## [685,] 0.7957909 0.20420911
## [686,] 0.7065451 0.29345488
## [687,] 0.8949486 0.10505144
## [688,] 0.7082509 0.29174906
## [689,] 0.6933816 0.30661845
## [690,] 0.7583713 0.24162866
## [691,] 0.7030780 0.29692204
## [692,] 0.7038441 0.29615588
## [693,] 0.8550128 0.14498716
## [694,] 0.8314247 0.16857529
## [695,] 0.3162247 0.68377532
## [696,] 0.7896278 0.21037220
## [697,] 0.7166703 0.28332975
## [698,] 0.2828372 0.71716278
## [699,] 0.7103490 0.28965102
## [700,] 0.2950652 0.70493479
## [701,] 0.7538109 0.24618905
## [702,] 0.6922687 0.30773128
## [703,] 0.7299935 0.27000651
## [704,] 0.8041078 0.19589220
## [705,] 0.8600053 0.13999466
## [706,] 0.8954720 0.10452795
## [707,] 0.6889157 0.31108433
## [708,] 0.8840594 0.11594063
## [709,] 0.7063244 0.29367562
## [710,] 0.7712432 0.22875681
## [711,] 0.7934646 0.20653539
## [712,] 0.7786616 0.22133842
## [713,] 0.9172664 0.08273360
## [714,] 0.3022618 0.69773822
## [715,] 0.7080479 0.29195212
## [716,] 0.7377557 0.26224426
## [717,] 0.7530157 0.24698432
## [718,] 0.1849816 0.81501843
## [719,] 0.7188444 0.28115565
## [720,] 0.7358380 0.26416201
## [721,] 0.8308699 0.16913006
## [722,] 0.2759451 0.72405485
## [723,] 0.3019580 0.69804205
## [724,] 0.3111311 0.68886886
## [725,] 0.7037082 0.29629178
## [726,] 0.7265484 0.27345159
## [727,] 0.2576456 0.74235444
## [728,] 0.7006593 0.29934070
## [729,] 0.2921748 0.70782516
## [730,] 0.6993387 0.30066133
## [731,] 0.7243390 0.27566100
## [732,] 0.7127912 0.28720882
## [733,] 0.2504729 0.74952706
## [734,] 0.8162420 0.18375804
## [735,] 0.7416428 0.25835724
## [736,] 0.7761109 0.22388910
## [737,] 0.7897259 0.21027413
## [738,] 0.2490478 0.75095215
## [739,] 0.2515165 0.74848347
## [740,] 0.2812014 0.71879864
## [741,] 0.7822733 0.21772672
## [742,] 0.7571044 0.24289556
## [743,] 0.7044849 0.29551505
## [744,] 0.8124683 0.18753167
## [745,] 0.7187482 0.28125181
## [746,] 0.7341467 0.26585326
## [747,] 0.7203838 0.27961616
## [748,] 0.7035556 0.29644445
## [749,] 0.6926263 0.30737368
## [750,] 0.7195794 0.28042064
## [751,] 0.2923717 0.70762828
## [752,] 0.2484721 0.75152792
## [753,] 0.6905884 0.30941160
## [754,] 0.3079604 0.69203963
## [755,] 0.2905289 0.70947114
## [756,] 0.7959556 0.20404437
## [757,] 0.3071808 0.69281920
## [758,] 0.3144392 0.68556078
## [759,] 0.7682880 0.23171201
## [760,] 0.7191907 0.28080932
## [761,] 0.1834910 0.81650895
## [762,] 0.7500517 0.24994832
## [763,] 0.7257329 0.27426710
## [764,] 0.6995288 0.30047119
## [765,] 0.7594982 0.24050183
## [766,] 0.2954579 0.70454212
## [767,] 0.7538109 0.24618914
## [768,] 0.8007051 0.19929488
## [769,] 0.8047729 0.19522706
## [770,] 0.2360280 0.76397195
## [771,] 0.8215358 0.17846420
## [772,] 0.2944815 0.70551854
## [773,] 0.2115526 0.78844737
## [774,] 0.7028343 0.29716570
## [775,] 0.8177327 0.18226727
## [776,] 0.7439709 0.25602911
## [777,] 0.8278549 0.17214515
## [778,] 0.2500893 0.74991074
## [779,] 0.7852137 0.21478632
## [780,] 0.7079097 0.29209030
## [781,] 0.7315993 0.26840065
## [782,] 0.8768319 0.12316809
## [783,] 0.7330668 0.26693318
## [784,] 0.7329234 0.26707659
## [785,] 0.7345725 0.26542745
## [786,] 0.2655325 0.73446747
## [787,] 0.7218200 0.27818003
## [788,] 0.7374791 0.26252088
## [789,] 0.7601488 0.23985124
## [790,] 0.7047386 0.29526143
## [791,] 0.2954776 0.70452242
## [792,] 0.6928795 0.30712047
## [793,] 0.2618811 0.73811889
## [794,] 0.7634034 0.23659656
## [795,] 0.6884371 0.31156289
## [796,] 0.7068178 0.29318222
## [797,] 0.7243256 0.27567440
## [798,] 0.6998901 0.30010994
## [799,] 0.7055839 0.29441614
## [800,] 0.7906011 0.20939889
## [801,] 0.7212383 0.27876168
## [802,] 0.2765344 0.72346559
## [803,] 0.7285013 0.27149866
## [804,] 0.1929237 0.80707628
## [805,] 0.1525414 0.84745856
## [806,] 0.7232938 0.27670624
## [807,] 0.7013609 0.29863905
## [808,] 0.7218347 0.27816532
## [809,] 0.2998122 0.70018777
## [810,] 0.7318892 0.26811081
## [811,] 0.7290745 0.27092548
## [812,] 0.3155730 0.68442698
## [813,] 0.2930823 0.70691775
## [814,] 0.7186889 0.28131106
## [815,] 0.7524637 0.24753628
## [816,] 0.3075542 0.69244584
## [817,] 0.7145734 0.28542659
## [818,] 0.6971019 0.30289809
## [819,] 0.8948660 0.10513399
## [820,] 0.7147261 0.28527387
## [821,] 0.7054644 0.29453562
## [822,] 0.6917616 0.30823838
## [823,] 0.7381271 0.26187294
## [824,] 0.7833122 0.21668777
## [825,] 0.2921271 0.70787285
## [826,] 0.2873475 0.71265251
## [827,] 0.7951856 0.20481438
## [828,] 0.8123373 0.18766272
## [829,] 0.7055026 0.29449737
## [830,] 0.7055149 0.29448512
## [831,] 0.7379569 0.26204311
## [832,] 0.2745782 0.72542179
## [833,] 0.7038908 0.29610924
## [834,] 0.7090861 0.29091387
## [835,] 0.7620062 0.23799379
## [836,] 0.8338070 0.16619298
## [837,] 0.7888274 0.21117260
## [838,] 0.6891623 0.31083774
## [839,] 0.7728313 0.22716865
## [840,] 0.7481668 0.25183324
## [841,] 0.7227951 0.27720492
## [842,] 0.7224836 0.27751640
## [843,] 0.8225875 0.17741246
## [844,] 0.7386325 0.26136750
## [845,] 0.7210134 0.27898663
## [846,] 0.7343980 0.26560198
## [847,] 0.7396131 0.26038687
## [848,] 0.2802351 0.71976490
## [849,] 0.7494974 0.25050259
## [850,] 0.8746322 0.12536780
## [851,] 0.2997622 0.70023776
## [852,] 0.7925471 0.20745285
## [853,] 0.7122808 0.28771918
## [854,] 0.6894930 0.31050695
## [855,] 0.7131677 0.28683226
## [856,] 0.3027277 0.69727227
## [857,] 0.2927640 0.70723601
## [858,] 0.7121719 0.28782806
## [859,] 0.1967430 0.80325704
## [860,] 0.7093387 0.29066133
## [861,] 0.2945611 0.70543892
## [862,] 0.7145867 0.28541332
## [863,] 0.6985941 0.30140585
## [864,] 0.7072983 0.29270171
## [865,] 0.7673714 0.23262864
## [866,] 0.2253032 0.77469684
## [867,] 0.8239128 0.17608716
## [868,] 0.8282453 0.17175473
## [869,] 0.2801900 0.71981002
## [870,] 0.7968771 0.20312285
## [871,] 0.2981752 0.70182476
## [872,] 0.7251036 0.27489643
## [873,] 0.2914740 0.70852598
## [874,] 0.7143165 0.28568353
## [875,] 0.6999962 0.30000385
## [876,] 0.2826313 0.71736868
## [877,] 0.7029640 0.29703598
## [878,] 0.7093736 0.29062637
## [879,] 0.7168985 0.28310154
## [880,] 0.7245520 0.27544805
## [881,] 0.7932037 0.20679634
## [882,] 0.7139698 0.28603021
## [883,] 0.6945152 0.30548481
## [884,] 0.3001328 0.69986725
## [885,] 0.6997401 0.30025990
## [886,] 0.3050858 0.69491417
## [887,] 0.7154591 0.28454086
## [888,] 0.7545139 0.24548611
## [889,] 0.6860950 0.31390498
## [890,] 0.7144503 0.28554968
## [891,] 0.6993242 0.30067583
## [892,] 0.7689214 0.23107859
## [893,] 0.6955778 0.30442216
## [894,] 0.7100458 0.28995416
## [895,] 0.7327728 0.26722715
## [896,] 0.7003327 0.29966727
## [897,] 0.7011877 0.29881230
## [898,] 0.7138615 0.28613849
## [899,] 0.7294101 0.27058987
## [900,] 0.7049733 0.29502665
## [901,] 0.7381392 0.26186084
## [902,] 0.7363031 0.26369691
## [903,] 0.7104072 0.28959282
## [904,] 0.7230952 0.27690478
## [905,] 0.6950818 0.30491822
## [906,] 0.7711811 0.22881886
## [907,] 0.2001473 0.79985275
## [908,] 0.2772819 0.72271808
## [909,] 0.2970575 0.70294251
## [910,] 0.3014888 0.69851119
## [911,] 0.2046190 0.79538100
## [912,] 0.7318561 0.26814385
## 
## $class
##   [1] "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "B" "B" "B"
##  [19] "M" "M" "M" "M" "M" "M" "M" "M" "B" "M" "M" "M" "M" "M" "M" "B" "M" "B"
##  [37] "B" "B" "M" "M" "B" "M" "M" "B" "B" "B" "B" "M" "B" "B" "B" "M" "M" "M"
##  [55] "B" "M" "M" "B" "B" "B" "M" "M" "B" "M" "M" "M" "B" "B" "B" "M" "B" "B"
##  [73] "M" "M" "B" "B" "M" "B" "B" "B" "B" "M" "B" "M" "B" "B" "B" "B" "B" "B"
##  [91] "B" "B" "M" "M" "M" "B" "M" "B" "B" "M" "M" "B" "M" "B" "M" "M" "B" "M"
## [109] "B" "B" "M" "B" "B" "M" "B" "B" "M" "B" "B" "B" "B" "B" "B" "B" "B" "B"
## [127] "B" "B" "M" "M" "B" "M" "B" "M" "M" "B" "M" "B" "B" "B" "M" "B" "B" "M"
## [145] "M" "B" "M" "B" "B" "B" "M" "B" "B" "M" "B" "M" "M" "M" "B" "M" "M" "M"
## [163] "B" "M" "B" "M" "B" "B" "M" "B" "M" "M" "B" "B" "M" "B" "B" "M" "B" "B"
## [181] "B" "B" "M" "B" "B" "M" "B" "B" "B" "M" "B" "B" "B" "B" "M" "B" "B" "B"
## [199] "B" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "B" "B" "B" "B" "B" "M"
## [217] "B" "M" "B" "B" "M" "B" "M" "B" "M" "M" "B" "B" "B" "B" "B" "B" "B" "B"
## [235] "B" "B" "B" "B" "B" "M" "B" "B" "M" "B" "M" "B" "B" "B" "B" "B" "B" "B"
## [253] "B" "B" "B" "M" "B" "B" "B" "M" "B" "M" "B" "B" "M" "M" "B" "B" "B" "M"
## [271] "B" "B" "M" "B" "B" "B" "M" "B" "B" "B" "B" "B" "B" "B" "M" "M" "M" "B"
## [289] "B" "B" "B" "B" "B" "B" "B" "M" "M" "M" "M" "M" "B" "M" "B" "B" "B" "B"
## [307] "B" "M" "B" "B" "B" "B" "B" "M" "B" "M" "B" "M" "B" "B" "B" "B" "M" "B"
## [325] "B" "B" "B" "B" "B" "M" "B" "B" "B" "B" "B" "M" "B" "B" "M" "B" "B" "B"
## [343] "B" "B" "B" "B" "M" "B" "M" "M" "M" "B" "B" "B" "B" "B" "B" "B" "M" "B"
## [361] "M" "B" "B" "M" "B" "M" "B" "B" "B" "B" "B" "B" "M" "M" "B" "B" "B" "B"
## [379] "B" "M" "B" "B" "B" "B" "B" "B" "M" "B" "B" "B" "B" "B" "M" "M" "B" "B"
## [397] "B" "B" "B" "M" "M" "M" "B" "B" "B" "M" "B" "B" "M" "M" "B" "M" "B" "B"
## [415] "B" "M" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "M" "B" "B" "B" "B" "B"
## [433] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "M" "M" "M"
## [451] "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "B"
## [469] "B" "B" "M" "M" "M" "M" "M" "M" "M" "M" "M" "B" "M" "M" "M" "M" "M" "M"
## [487] "M" "B" "B" "B" "B" "B" "M" "M" "B" "M" "B" "B" "B" "B" "M" "B" "M" "B"
## [505] "B" "B" "M" "M" "M" "B" "M" "B" "M" "M" "B" "B" "M" "M" "B" "M" "M" "M"
## [523] "B" "B" "B" "M" "B" "B" "M" "B" "B" "M" "M" "B" "B" "B" "M" "B" "M" "B"
## [541] "B" "B" "B" "B" "B" "B" "M" "M" "B" "M" "B" "B" "B" "M" "B" "M" "B" "M"
## [559] "M" "B" "M" "M" "B" "B" "M" "M" "B" "B" "B" "M" "B" "B" "B" "B" "B" "B"
## [577] "B" "B" "B" "M" "B" "B" "M" "B" "M" "B" "B" "M" "M" "B" "M" "B" "B" "B"
## [595] "B" "M" "B" "B" "M" "M" "M" "B" "M" "B" "M" "B" "B" "B" "M" "B" "B" "M"
## [613] "B" "M" "M" "M" "B" "M" "M" "M" "B" "M" "B" "M" "B" "B" "M" "B" "M" "M"
## [631] "M" "M" "B" "B" "M" "B" "B" "B" "B" "B" "M" "M" "B" "B" "B" "M" "B" "M"
## [649] "B" "M" "B" "B" "B" "B" "B" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M"
## [667] "M" "M" "M" "M" "B" "B" "B" "B" "B" "M" "B" "B" "M" "B" "M" "B" "M" "B"
## [685] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "M" "B" "B" "M" "B" "M" "B" "B"
## [703] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "M" "B" "B" "B" "M" "B" "B"
## [721] "B" "M" "M" "M" "B" "B" "M" "B" "M" "B" "B" "B" "M" "B" "B" "B" "B" "M"
## [739] "M" "M" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "M" "M" "B" "M" "M" "B"
## [757] "M" "M" "B" "B" "M" "B" "B" "B" "B" "M" "B" "B" "B" "M" "B" "M" "M" "B"
## [775] "B" "B" "B" "M" "B" "B" "B" "B" "B" "B" "B" "M" "B" "B" "B" "B" "M" "B"
## [793] "M" "B" "B" "B" "B" "B" "B" "B" "B" "M" "B" "M" "M" "B" "B" "B" "M" "B"
## [811] "B" "M" "M" "B" "B" "M" "B" "B" "B" "B" "B" "B" "B" "B" "M" "M" "B" "B"
## [829] "B" "B" "B" "M" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
## [847] "B" "M" "B" "B" "M" "B" "B" "B" "B" "M" "M" "B" "M" "B" "M" "B" "B" "B"
## [865] "B" "M" "B" "B" "M" "B" "M" "B" "M" "B" "B" "M" "B" "B" "B" "B" "B" "B"
## [883] "B" "M" "B" "M" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
## [901] "B" "B" "B" "B" "B" "B" "M" "M" "M" "M" "M" "B"
## 
## $importance
##   compactness_se  smoothness_mean smoothness_worst   symmetry_worst 
##         18.34265         16.54034         15.60520         17.19413 
##     texture_mean    texture_worst 
##         17.94675         14.37093 
## 
## $terms
## .outcome ~ texture_mean + smoothness_mean + compactness_se + 
##     texture_worst + smoothness_worst + symmetry_worst
## attr(,"variables")
## list(.outcome, texture_mean, smoothness_mean, compactness_se, 
##     texture_worst, smoothness_worst, symmetry_worst)
## attr(,"factors")
##                  texture_mean smoothness_mean compactness_se texture_worst
## .outcome                    0               0              0             0
## texture_mean                1               0              0             0
## smoothness_mean             0               1              0             0
## compactness_se              0               0              1             0
## texture_worst               0               0              0             1
## smoothness_worst            0               0              0             0
## symmetry_worst              0               0              0             0
##                  smoothness_worst symmetry_worst
## .outcome                        0              0
## texture_mean                    0              0
## smoothness_mean                 0              0
## compactness_se                  0              0
## texture_worst                   0              0
## smoothness_worst                1              0
## symmetry_worst                  0              1
## attr(,"term.labels")
## [1] "texture_mean"     "smoothness_mean"  "compactness_se"   "texture_worst"   
## [5] "smoothness_worst" "symmetry_worst"  
## attr(,"order")
## [1] 1 1 1 1 1 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: 0x000000002fb413e8>
## attr(,"predvars")
## list(.outcome, texture_mean, smoothness_mean, compactness_se, 
##     texture_worst, smoothness_worst, symmetry_worst)
## attr(,"dataClasses")
##         .outcome     texture_mean  smoothness_mean   compactness_se 
##         "factor"        "numeric"        "numeric"        "numeric" 
##    texture_worst smoothness_worst   symmetry_worst 
##        "numeric"        "numeric"        "numeric" 
## 
## $call
## (function (formula, data, boos = TRUE, mfinal = 100, coeflearn = "Breiman", 
##     control, ...) 
## {
##     if (!(as.character(coeflearn) %in% c("Freund", "Breiman", 
##         "Zhu"))) {
##         stop("coeflearn must be 'Freund', 'Breiman' or 'Zhu' ")
##     }
##     formula <- as.formula(formula)
##     vardep <- data[, as.character(formula[[2]])]
##     n <- length(data[, 1])
##     nclases <- nlevels(vardep)
##     pesos <- rep(1/n, n)
##     guardarpesos <- array(0, c(n, mfinal))
##     w <- rep(1/n, n)
##     data <- cbind(pesos, data)
##     arboles <- list()
##     pond <- rep(0, mfinal)
##     pred <- data.frame(rep(0, n))
##     arboles[[1]] <- rpart(formula, data = data[, -1], control = rpart.control(minsplit = 1, 
##         cp = -1, maxdepth = 30))
##     nvar <- dim(varImp(arboles[[1]], surrogates = FALSE, competes = FALSE))[1]
##     imp <- array(0, c(mfinal, nvar))
##     for (m in 1:mfinal) {
##         if (boos == TRUE) {
##             k <- 1
##             while (k == 1) {
##                 boostrap <- sample(1:n, replace = TRUE, prob = pesos)
##                 fit <- rpart(formula, data = data[boostrap, -1], 
##                   control = control)
##                 k <- length(fit$frame$var)
##             }
##             flearn <- predict(fit, newdata = data[, -1], type = "class")
##             ind <- as.numeric(vardep != flearn)
##             err <- sum(pesos * ind)
##         }
##         if (boos == FALSE) {
##             w <<- pesos
##             fit <- rpart(formula = formula, data = data[, -1], 
##                 weights = w, control = control)
##             flearn <- predict(fit, data = data[, -1], type = "class")
##             ind <- as.numeric(vardep != flearn)
##             err <- sum(pesos * ind)
##         }
##         c <- log((1 - err)/err)
##         if (coeflearn == "Breiman") {
##             c <- (1/2) * c
##         }
##         if (coeflearn == "Zhu") {
##             c <- c + log(nclases - 1)
##         }
##         guardarpesos[, m] <- pesos
##         pesos <- pesos * exp(c * ind)
##         pesos <- pesos/sum(pesos)
##         maxerror <- 0.5
##         eac <- 0.001
##         if (coeflearn == "Zhu") {
##             maxerror <- 1 - 1/nclases
##         }
##         if (err >= maxerror) {
##             pesos <- rep(1/n, n)
##             maxerror <- maxerror - eac
##             c <- log((1 - maxerror)/maxerror)
##             if (coeflearn == "Breiman") {
##                 c <- (1/2) * c
##             }
##             if (coeflearn == "Zhu") {
##                 c <- c + log(nclases - 1)
##             }
##         }
##         if (err == 0) {
##             pesos <- rep(1/n, n)
##             c <- log((1 - eac)/eac)
##             if (coeflearn == "Breiman") {
##                 c <- (1/2) * c
##             }
##             if (coeflearn == "Zhu") {
##                 c <- c + log(nclases - 1)
##             }
##         }
##         arboles[[m]] <- fit
##         pond[m] <- c
##         if (m == 1) {
##             pred <- flearn
##         }
##         else {
##             pred <- data.frame(pred, flearn)
##         }
##         if (length(fit$frame$var) > 1) {
##             k <- varImp(fit, surrogates = FALSE, competes = FALSE)
##             imp[m, ] <- k[sort(row.names(k)), ]
##         }
##         else {
##             imp[m, ] <- rep(0, nvar)
##         }
##     }
##     classfinal <- array(0, c(n, nlevels(vardep)))
##     for (i in 1:nlevels(vardep)) {
##         classfinal[, i] <- matrix(as.numeric(pred == levels(vardep)[i]), 
##             nrow = n) %*% as.vector(pond)
##     }
##     predclass <- rep("O", n)
##     predclass[] <- apply(classfinal, 1, FUN = select, vardep.summary = summary(vardep))
##     imppond <- as.vector(as.vector(pond) %*% imp)
##     imppond <- imppond/sum(imppond) * 100
##     names(imppond) <- sort(row.names(k))
##     votosporc <- classfinal/apply(classfinal, 1, sum)
##     ans <- list(formula = formula, trees = arboles, weights = pond, 
##         votes = classfinal, prob = votosporc, class = predclass, 
##         importance = imppond)
##     attr(ans, "vardep.summary") <- summary(vardep, maxsum = 700)
##     mf <- model.frame(formula = formula, data = data[, -1])
##     terms <- attr(mf, "terms")
##     ans$terms <- terms
##     ans$call <- match.call()
##     class(ans) <- "boosting"
##     ans
## })(formula = .outcome ~ ., data = list(texture_mean = c(2.33988087773774, 
## 2.87751164216656, 3.05635689537043, 2.75366071235426, 2.99473177322041, 
## 3.03639425527288, 3.08282698040492, 3.17971910966701, 3.14587493198371, 
## 2.88424189752063, 3.21084365317094, 3.11839228628988, 3.31563949330051, 
## 3.0022112396517, 3.02916704964023, 2.66444656362008, 2.75429745226753, 
## 2.52091708731103, 2.65745841498615, 3.0624559055969, 2.79728133483015, 
## 3.06944731137627, 3.00815479355255, 2.71137799119488, 2.92852352386054, 
## 2.88368276974537, 2.91343703082716, 3.22684399451738, 3.03591406318682, 
## 3.06105173967463, 3.21124679770371, 3.08236858021354, 2.86789890204411, 
## 2.82375700881418, 2.9263821954192, 2.68307421503203, 2.79361608943186, 
## 2.90361698464619, 2.92852352386054, 3.09195113129453, 2.93119375241642, 
## 2.92154737536461, 3.07223024452672, 2.96062309644042, 2.70001802940495, 
## 3.04356960296815, 2.62900699376176, 3.17136484219715, 3.04499851485691, 
## 2.94654202936322, 2.85243910372751, 3.05917644611053, 3.19948911106801, 
## 2.75937682826755, 2.80457176809283, 2.78192004966867, 3.17680304844629, 
## 2.89037175789616, 3.04309284491383, 2.7638002162067, 3.21526932927409, 
## 3.26918863874179, 2.75047091698616, 2.91885122921803, 3.06619073720255, 
## 3.2023398562281, 3.08190996979504, 2.7239235502585, 3.17888681665184, 
## 3.12500460925813, 2.69192081917233, 2.90690105984738, 2.9871959425317, 
## 3.13679771383259, 2.88144312715186, 2.55256529826182, 2.98416563718253, 
## 2.59749101053515, 3.02140002030257, 2.96527306606928, 2.95958682691764, 
## 2.74470351875025, 2.91993056013771, 2.97909463240097, 3.0568273729138, 
## 2.83262493568384, 3.03302805829769, 2.97807733831527, 3.00518743232475, 
## 2.76190687389292, 3.06944731137627, 2.75747508442973, 2.8136106967627, 
## 3.1315734964654, 2.99623214859564, 2.38139627341834, 3.00568260440716, 
## 2.79667139275574, 2.84549061022345, 3.20639830335709, 2.93969088267037, 
## 2.79667139275574, 3.2236643416, 2.58701187272515, 2.96938829821439, 
## 3.06991167172824, 2.63404478779171, 3.08694315360738, 2.8136106967627, 
## 2.73371794785079, 2.86619290219901, 2.59450815970308, 2.48240351956988, 
## 2.89314568477889, 2.76757618041624, 2.68444033546308, 2.80819714970715, 
## 2.93225985059842, 2.71997877196748, 2.88535921607262, 3.03013370027132, 
## 2.57108434602905, 2.73046379593911, 2.88703285663065, 2.96836107675786, 
## 2.54474665014402, 2.56186769092413, 3.00469201492546, 2.76883167336207, 
## 2.89867056071086, 3.10099278421148, 3.09285898428471, 2.98365969231972, 
## 2.9338568698359, 3.20599319903719, 2.51688969564105, 2.97705900828837, 
## 2.71800053195538, 2.67069441455844, 2.89369954798884, 3.00121720378456, 
## 3.10099278421148, 2.56955412384829, 3.27978275977172, 3.01111337559229, 
## 2.70270259477561, 2.92208573338569, 2.84432781939476, 2.85589532836619, 
## 2.76631910922619, 3.14069804380418, 3.06385810260159, 2.90251989183181, 
## 3.29063819109509, 2.79300390698237, 3.10413814739778, 3.0837431508767, 
## 3.00667221359233, 2.97348666460667, 2.96114082878437, 3.28353933819392, 
## 3.16758253048065, 2.92316158071916, 2.8142103969306, 2.84897089215859, 
## 3.00864849882054, 3.11529150861163, 2.55800220485855, 3.09738592728049, 
## 2.94127608775793, 3.24102862950933, 2.82908719614504, 2.90962957450058, 
## 2.86105737022739, 3.48031658611475, 2.63188884013665, 2.86391369893314, 
## 3.00815479355255, 2.83438912314523, 2.60046499042227, 2.74148497718845, 
## 3.17680304844629, 3.10593106585207, 3.29879544804407, 3.52075661671979, 
## 3.32539566824587, 2.7669478423497, 3.05635689537043, 3.32683296637329, 
## 3.67071548348627, 2.74727091425549, 2.71071331852169, 2.90087199253003, 
## 3.1684242813721, 3.15700042115011, 2.98870765861703, 2.64688376586472, 
## 3.22763733053677, 2.7033726115511, 3.15955035878339, 2.98669152890184, 
## 2.83790818836042, 2.96165829322024, 2.83615020372953, 3.35933317756346, 
## 2.84897089215859, 3.14415227867226, 3.09693415406296, 2.96424160646262, 
## 3.43785069931019, 2.94180393152844, 3.0837431508767, 2.78562833574758, 
## 3.01504458458636, 2.56802155649851, 3.04404613383254, 2.75174805636793, 
## 3.19785645764413, 2.8541687092322, 2.65042108826557, 2.99473177322041, 
## 2.88144312715186, 3.28091121578765, 2.64048488160644, 2.90032208874933, 
## 2.93225985059842, 2.75366071235426, 2.91235066461494, 3.03302805829769, 
## 2.57413778351594, 2.99373027088332, 2.93863268151342, 2.98214032003452, 
## 2.94968833505258, 2.77383794164021, 2.85991255041146, 2.62321826558551, 
## 2.58550584834412, 2.51365606307399, 2.89811944468699, 2.89977188240808, 
## 3.1393996233664, 2.9391619220656, 2.99021709286588, 3.17220341666977, 
## 2.92369907065416, 3.19826487096408, 2.76127496233951, 2.66722820658195, 
## 2.54238908520136, 2.62756295018952, 2.75302356674494, 2.59301339111385, 
## 2.37211115564266, 2.82435065679837, 2.93757335938046, 2.9391619220656, 
## 2.83321334405622, 2.78377591163035, 2.97858611471902, 2.58926666511224, 
## 3.06851794327964, 2.7219531062712, 2.85070650150373, 3.03061667540749, 
## 2.74148497718845, 2.96269241947579, 2.98870765861703, 2.94549105711724, 
## 3.04452243772342, 2.65535241210176, 2.86391369893314, 3.18924101973851, 
## 2.80578168959555, 2.82375700881418, 2.70537997254633, 3.07639017657145, 
## 2.73760900334375, 2.68852753461335, 2.9391619220656, 2.69056488676119, 
## 2.77446196662146, 2.70537997254633, 2.83732253680635, 2.95595140354215, 
## 2.85991255041146, 3.24804620216798, 2.6440448711263, 2.78562833574758, 
## 2.74019465442878, 2.90799335924598, 2.89425310460414, 3.07130346040107, 
## 2.93598226914822, 2.83026783382646, 3.08099211750481, 3.28952066443753, 
## 2.84781214347737, 3.08648663682246, 3.14802408389625, 2.58097411853423, 
## 2.85359250639287, 2.77695417974942, 2.77695417974942, 3.00667221359233, 
## 3.33967652501391, 2.71800053195538, 2.93545134266906, 2.56186769092413, 
## 2.7033726115511, 3.12324559385295, 2.86105737022739, 2.61885462229774, 
## 3.14802408389625, 2.64546532591059, 3.14458322028635, 2.82375700881418, 
## 3.10368941505908, 2.87469394517693, 2.85991255041146, 2.69665215614984, 
## 2.84839168565528, 3.04547436544881, 2.38967979984498, 2.90635446240277, 
## 2.7047112998367, 2.92262380173335, 2.69867303928961, 3.06198806933106, 
## 3.02819946369149, 2.88591740754678, 2.86619290219901, 2.82316300820271, 
## 3.07639017657145, 3.09602999486936, 3.39484390768998, 3.05258508514677, 
## 3.07731226054641, 3.04832472367316, 2.49897390699944, 2.94654202936322, 
## 2.77383794164021, 2.95125778345216, 2.95073490762326, 3.05776766447344, 
## 3.09013294897548, 3.11484775444415, 2.8724340572095, 2.97246364661464, 
## 3.08967788639652, 2.97654945413722, 2.97246364661464, 2.77133794033813, 
## 2.97552956623647, 2.75110969056266, 2.84490938381941, 2.75937682826755, 
## 2.90799335924598, 2.82435065679837, 3.2144661163795, 3.3332753651767, 
## 2.87130219517581, 2.96217549002515, 3.02140002030257, 3.06991167172824, 
## 3.2188758248682, 3.3403852422654, 2.84199817361195, 3.42491390827947, 
## 3.37724616083964, 3.2240623515555, 3.33932197794407, 3.30137704637994, 
## 3.26842760369745, 2.91017438519234, 2.90251989183181, 3.0022112396517, 
## 3.03206420280138, 2.89591193827178, 3.14974008603334, 2.91723004539903, 
## 3.33719205168624, 2.7033726115511, 2.74855214441154, 2.75556971707019, 
## 3.02188723103084, 2.97092715463502, 2.89203703721523, 2.95699144523756, 
## 2.64333388638252, 2.42303124606991, 2.82435065679837, 2.93492013415723, 
## 3.02334744058696, 2.55178617862755, 3.02237420450041, 3.00617753141553, 
## 2.89977188240808, 2.85128436918812, 3.05588619637374, 3.19826487096408, 
## 2.9871959425317, 2.55489902160804, 2.57566101305646, 2.8402473707136, 
## 3.17596832385692, 2.68716699018579, 2.68784749378469, 3.02140002030257, 
## 2.94811641961233, 2.92369907065416, 3.0243197304059, 2.90251989183181, 
## 2.81540871942271, 2.63188884013665, 3.07269331469012, 2.9274534328007, 
## 2.75238601492226, 2.57261223020711, 2.93119375241642, 2.50715725872282, 
## 2.57794151575519, 2.598235335095, 2.86562358820697, 2.99673177388707, 
## 2.79300390698237, 3.11573506594869, 3.19622113430339, 3.23828621838802, 
## 3.23632273847192, 2.67000213346468, 3.23553626576131, 3.33434507467431, 
## 3.14544454678232, 2.79422789734326, 2.80819714970715, 3.06712226964066, 
## 3.1108450806545, 3.38201456224538, 3.08831145484708, 3.36453339729056, 
## 3.31817802594206, 2.97501923195645, 3.32790958589232, 3.12148347885955, 
## 3.17513290192028, 3.37997374521053, 3.22246936037833, 3.10861443061066, 
## 3.33505757915761, 3.37861088298936, 2.33988087773774, 2.87751164216656, 
## 3.05635689537043, 3.01455402779458, 2.75366071235426, 2.99473177322041, 
## 3.03639425527288, 3.08282698040492, 3.17971910966701, 3.14587493198371, 
## 3.17596832385692, 3.11839228628988, 3.31563949330051, 3.0022112396517, 
## 3.02916704964023, 3.09783749649114, 2.66444656362008, 2.75429745226753, 
## 2.52091708731103, 2.65745841498615, 3.13723183582769, 2.79728133483015, 
## 2.92852352386054, 3.17722014959937, 3.27601201623901, 2.88368276974537, 
## 3.07223024452672, 3.07823349506573, 2.91343703082716, 3.22684399451738, 
## 3.03591406318682, 3.07176695982999, 3.06105173967463, 3.00963517872298, 
## 3.08236858021354, 2.86789890204411, 2.68307421503203, 3.10458667846607, 
## 3.07269331469012, 2.79361608943186, 2.90361698464619, 2.92852352386054, 
## 3.09195113129453, 2.93119375241642, 3.07223024452672, 2.96062309644042, 
## 2.46725171454928, 2.70001802940495, 3.04356960296815, 3.09783749649114, 
## 2.62900699376176, 3.17555070012983, 3.04499851485691, 2.94654202936322, 
## 2.85243910372751, 3.05917644611053, 3.19948911106801, 2.75937682826755, 
## 2.80457176809283, 2.97807733831527, 2.39242579699384, 2.78192004966867, 
## 3.17680304844629, 2.89037175789616, 2.7638002162067, 3.21526932927409, 
## 3.26918863874179, 2.75047091698616, 2.91885122921803, 3.06619073720255, 
## 3.2023398562281, 3.08190996979504, 2.7239235502585, 3.17888681665184, 
## 3.12500460925813, 2.69192081917233, 2.90690105984738, 2.9871959425317, 
## 2.99272776453369, 2.55256529826182, 2.98416563718253, 3.21807550469743, 
## 2.59749101053515, 3.02140002030257, 2.95958682691764, 2.74470351875025, 
## 2.91993056013771, 2.97909463240097, 3.0568273729138, 2.83262493568384, 
## 3.03302805829769, 2.97807733831527, 3.00518743232475, 3.06944731137627, 
## 2.75747508442973, 2.8136106967627, 2.99623214859564, 2.38139627341834, 
## 3.00568260440716, 2.38784493694487, 2.79667139275574, 2.84549061022345, 
## 2.93969088267037, 2.79667139275574, 3.2236643416, 2.58701187272515, 
## 2.96938829821439, 3.06991167172824, 2.63404478779171, 3.08694315360738, 
## 3.11218108619724, 2.8136106967627, 2.73371794785079, 2.86619290219901, 
## 2.89314568477889, 2.85128436918812, 2.70604819843154, 2.68444033546308, 
## 2.80819714970715, 2.93225985059842, 2.71997877196748, 2.88535921607262, 
## 3.03399098567108, 3.03013370027132, 2.73046379593911, 2.57108434602905, 
## 2.73046379593911, 2.88703285663065, 3.03206420280138, 2.54474665014402, 
## 2.56186769092413, 2.76883167336207, 3.10099278421148, 3.09285898428471, 
## 2.98365969231972, 2.27315628230323, 2.9338568698359, 3.20599319903719, 
## 2.83026783382646, 2.47569771070269, 2.68852753461335, 2.71800053195538, 
## 2.67069441455844, 2.89369954798884, 3.00121720378456, 3.10099278421148, 
## 2.56955412384829, 3.08511583468868, 3.27978275977172, 3.01111337559229, 
## 2.70270259477561, 3.10950728781284, 2.71535677628465, 2.92208573338569, 
## 2.84432781939476, 2.85589532836619, 2.76631910922619, 3.14069804380418, 
## 3.06385810260159, 2.90251989183181, 3.14458322028635, 2.79300390698237, 
## 3.10413814739778, 3.0837431508767, 3.11307076597122, 2.97348666460667, 
## 2.96114082878437, 3.28353933819392, 3.16758253048065, 2.92316158071916, 
## 2.8142103969306, 2.84897089215859, 3.00864849882054, 3.11529150861163, 
## 2.55800220485855, 3.09738592728049, 2.94127608775793, 2.91614779421115, 
## 3.24102862950933, 3.17010566049877, 2.82908719614504, 2.90962957450058, 
## 2.86105737022739, 3.48031658611475, 2.83438912314523, 2.60046499042227, 
## 2.73825604315928, 2.74148497718845, 3.17680304844629, 3.10593106585207, 
## 2.94864066602014, 3.52075661671979, 2.7669478423497, 3.05635689537043, 
## 3.06619073720255, 3.32683296637329, 3.67071548348627, 2.71071331852169, 
## 3.15700042115011, 2.98870765861703, 2.85819285953193, 2.64688376586472, 
## 3.22763733053677, 2.7033726115511, 3.15955035878339, 2.98669152890184, 
## 2.83790818836042, 2.96165829322024, 2.83615020372953, 3.35933317756346, 
## 2.84897089215859, 3.14415227867226, 3.51333488159901, 3.29805662274264, 
## 3.13809951484091, 3.09693415406296, 2.96424160646262, 3.09421922026864, 
## 3.43785069931019, 3.0837431508767, 2.78562833574758, 3.01504458458636, 
## 2.8225686545448, 2.56802155649851, 3.19785645764413, 2.8541687092322, 
## 2.65042108826557, 2.99473177322041, 2.71997877196748, 3.28091121578765, 
## 2.64048488160644, 2.90032208874933, 2.75366071235426, 2.91235066461494, 
## 3.03302805829769, 2.57413778351594, 2.99373027088332, 2.93863268151342, 
## 2.98214032003452, 2.94968833505258, 2.85991255041146, 2.62321826558551, 
## 2.51365606307399, 2.89811944468699, 2.89977188240808, 3.1393996233664, 
## 2.9391619220656, 2.99021709286588, 3.17220341666977, 2.92369907065416, 
## 2.89922137317315, 3.19826487096408, 2.76127496233951, 2.66722820658195, 
## 2.54238908520136, 2.95021175825218, 2.75302356674494, 2.59301339111385, 
## 2.37211115564266, 2.92316158071916, 2.82435065679837, 2.6447553507299, 
## 2.93757335938046, 2.9391619220656, 2.83321334405622, 2.58926666511224, 
## 3.06851794327964, 2.7219531062712, 2.85070650150373, 2.55567572067621, 
## 3.03061667540749, 3.08557297755378, 2.74148497718845, 2.96269241947579, 
## 2.69327491552006, 3.06479180948549, 2.86391369893314, 3.18924101973851, 
## 2.80578168959555, 2.82375700881418, 2.70537997254633, 3.07639017657145, 
## 2.73760900334375, 2.68852753461335, 2.69056488676119, 2.77446196662146, 
## 2.95595140354215, 2.85991255041146, 3.24804620216798, 2.6440448711263, 
## 2.94811641961233, 2.92262380173335, 2.78562833574758, 2.74019465442878, 
## 2.90799335924598, 3.07130346040107, 2.93598226914822, 2.90635446240277, 
## 2.83026783382646, 3.08099211750481, 3.28952066443753, 2.89148225218019, 
## 2.84781214347737, 3.08648663682246, 2.58097411853423, 2.71469474382088, 
## 2.85359250639287, 2.77695417974942, 3.00667221359233, 2.93545134266906, 
## 2.56186769092413, 3.12324559385295, 2.86105737022739, 2.61885462229774, 
## 3.14802408389625, 2.64546532591059, 2.78253905309295, 2.7408400239252, 
## 3.14458322028635, 2.50307395374345, 2.99423114742772, 3.10368941505908, 
## 2.87469394517693, 2.84374591655611, 2.85991255041146, 2.69665215614984, 
## 3.04547436544881, 2.38967979984498, 2.90635446240277, 2.78315767358902, 
## 2.7047112998367, 2.92262380173335, 2.69867303928961, 3.06198806933106, 
## 3.02819946369149, 2.86619290219901, 2.82316300820271, 3.07639017657145, 
## 3.09602999486936, 3.39484390768998, 3.07731226054641, 3.04832472367316, 
## 2.49897390699944, 3.06385810260159, 2.94654202936322, 2.77383794164021, 
## 2.95125778345216, 2.95073490762326, 3.05776766447344, 3.09013294897548, 
## 3.11484775444415, 2.8724340572095, 2.97246364661464, 3.08967788639652, 
## 2.82967768922391, 2.97552956623647, 2.84490938381941, 3.23553626576131, 
## 2.75937682826755, 2.90799335924598, 2.82435065679837, 3.3332753651767, 
## 2.87130219517581, 2.96217549002515, 3.02140002030257, 3.06991167172824, 
## 3.3403852422654, 2.63762773680566, 2.84199817361195, 3.42491390827947, 
## 3.37724616083964, 3.2240623515555, 3.33932197794407, 3.30137704637994, 
## 3.26842760369745, 3.29546642702991, 2.90251989183181, 3.0022112396517, 
## 3.03206420280138, 2.89591193827178, 3.14974008603334, 2.90032208874933, 
## 2.91723004539903, 3.33719205168624, 3.40019688132857, 2.75556971707019, 
## 3.02188723103084, 2.8106067894273, 2.68033636253469, 2.89203703721523, 
## 2.95699144523756, 2.64333388638252, 2.87016905057865, 2.42303124606991, 
## 2.797890905102, 2.82435065679837, 2.93492013415723, 2.78315767358902, 
## 2.58248697812686, 3.02334744058696, 3.02237420450041, 3.00617753141553, 
## 2.89977188240808, 2.85128436918812, 2.86334308550825, 3.05588619637374, 
## 2.81780106506133, 3.19826487096408, 2.79239134953596, 2.9871959425317, 
## 2.55489902160804, 2.99773027621666, 2.8402473707136, 2.75366071235426, 
## 3.17596832385692, 2.68716699018579, 2.68784749378469, 3.02140002030257, 
## 2.61447185414264, 2.94811641961233, 2.92369907065416, 3.0243197304059, 
## 2.90251989183181, 2.63188884013665, 3.07269331469012, 2.9871959425317, 
## 2.9274534328007, 2.75238601492226, 2.93119375241642, 2.50715725872282, 
## 2.86562358820697, 2.99673177388707, 3.02868337369368, 2.86903462050803, 
## 3.03783344957263, 3.19622113430339, 2.67000213346468, 3.21847574484686, 
## 3.23553626576131, 3.14544454678232, 2.79422789734326, 2.80819714970715, 
## 2.96217549002515, 3.06712226964066, 3.1108450806545, 3.38201456224538, 
## 3.08831145484708, 3.36453339729056, 3.31817802594206, 2.97501923195645, 
## 3.32790958589232, 3.12148347885955, 3.17513290192028, 3.30137704637994, 
## 3.37997374521053, 3.42165339022954, 3.10861443061066, 3.34109345759245, 
## 3.33505757915761, 3.37861088298936, 3.20030443928277), smoothness_mean = c(-2.13368655653223, 
## -2.46816753378372, -2.21091790446822, -2.0572887370387, -2.357780728462, 
## -2.1294724752854, -2.06120877341878, -2.13199879241851, -2.5003045919681, 
## -2.33201390368486, -2.32892906833365, -2.17948289586006, -2.172434408529, 
## -2.31597433011306, -2.14558134418438, -2.32493295665795, -2.23026443141442, 
## -2.27886856637673, -2.23212662934548, -2.18836394890402, -2.13199879241851, 
## -2.24999264287488, -2.36021420583068, -2.31800334572243, -2.19912638462582, 
## -2.26336437984076, -2.40983628374102, -2.36584443263324, -2.28671174383776, 
## -2.09801292726527, -2.3989858672804, -2.33160204206454, -2.20818441757256, 
## -2.45340798272863, -2.15589071384324, -2.27205588795922, -2.56589980899753, 
## -2.49362454040772, -2.16456379509667, -2.40174266452726, -2.35135525736347, 
## -2.25094185984221, -2.17419187822565, -2.51825662946955, -2.17683388768849, 
## -2.08505728046547, -2.56122629666141, -2.18747228589354, -2.2595256035336, 
## -2.50850286364319, -2.23867176725039, -2.40694610831879, -2.23399230152843, 
## -2.29560947925762, -2.38901482099243, -2.23961029383266, -2.05104846717862, 
## -2.30920696930293, -2.20545838226332, -2.22747762050724, -2.24148999363423, 
## -2.10784101620153, -2.33067597316057, -2.31526514615142, -2.35979056676483, 
## -2.40472856666275, -2.43360535543245, -2.17859911321305, -2.4108386784343, 
## -2.3859667019331, -2.60978983193469, -2.28082360121253, -2.26432638087696, 
## -2.39931628195382, -2.25856820757727, -2.40983628374102, -2.32769779380912, 
## -2.14558134418438, -2.52410496319216, -2.29759755148301, -2.30368569843808, 
## -1.96754244918243, -2.46781357236182, -2.02041820123037, -2.43508844280714, 
## -2.26625316374666, -2.30930763875487, -2.54631407791736, -2.18747228589354, 
## -2.16282315061889, -2.32605844917969, -2.35788640877914, -2.15244243456433, 
## -2.15848474902029, -2.4767004132409, -2.36733697022374, -1.9330926453447, 
## -2.64296495444628, -2.43212446434903, -2.37968214337901, -2.49896500703904, 
## -2.16282315061889, -2.2876964805003, -2.23867176725039, -2.21457421567133, 
## -2.29461692334487, -2.35788640877914, -2.36127408934273, -2.25284300109923, 
## -2.33935281718626, -2.14814873968963, -2.1507227436848, -2.38054663446376, 
## -2.33088169214916, -2.44449433917674, -2.16108553072035, -2.21549038614311, 
## -2.50862573640859, -2.30558960201434, -2.53275325924522, -2.3639287232351, 
## -2.32749272870023, -2.36616407463692, -2.4471485441854, -2.59762751985212, 
## -2.3739736890817, -2.58826916278315, -2.21732524904322, -2.44253705342149, 
## -2.18925640768704, -2.29065652212877, -2.47230636781226, -2.47444159994024, 
## -2.42305924646192, -2.25474776357989, -2.27496992596107, -2.40262644717427, 
## -2.43132796888677, -2.39272864284701, -2.33314739857669, -2.3196295276033, 
## -2.77242873503842, -2.43737441934268, -2.17068002211411, -2.3437196363526, 
## -2.40141144730094, -2.45480430597156, -2.32544438714013, -2.29560947925762, 
## -2.51577831345509, -2.23026443141442, -2.43623077786396, -2.66642852641139, 
## -2.26915031690781, -2.53313097407502, -2.12026353620009, -2.60761680378094, 
## -2.31546771882506, -2.34486648525065, -2.41150750021823, -2.17068002211411, 
## -2.02268320786123, -2.30609123232333, -2.42181918091774, -2.21732524904322, 
## -2.43360535543245, -2.30058709033137, -2.50323356648088, -2.3979952777987, 
## -2.42238265644964, -2.2966030213165, -2.27691734624547, -2.36840443403134, 
## -2.51900132355883, -2.47456035773386, -2.25284300109923, -2.2433732333622, 
## -2.27789248040367, -2.47159563572833, -2.31202955182205, -2.48039683431017, 
## -2.53792775176525, -2.2182439445603, -2.67611558257186, -2.55361384779779, 
## -2.39043318356724, -2.46934831087215, -2.40019792186105, -2.49823507999933, 
## -2.32156405959185, -2.36201667676347, -2.53502169121985, -2.34424076826288, 
## -2.52036803806616, -2.27594316204762, -2.23492644452023, -2.43497428103979, 
## -2.33748714500331, -2.2896688677275, -2.29560947925762, -2.2424311701743, 
## -2.29461692334487, -2.26818366627671, -2.21091790446822, -2.37946613733, 
## -2.01365380114183, -2.19912638462582, -2.40805672593628, -2.54593135162578, 
## -2.35714688098673, -2.3342821797373, -2.53124382499637, -2.36180445265402, 
## -2.22377391256976, -2.31932441699834, -2.36435411939168, -2.40384292506827, 
## -2.42418791475329, -2.09964424899736, -2.36669703846129, -2.41653797307008, 
## -2.53224986129852, -2.28278246569787, -2.54938117297348, -2.26625316374666, 
## -2.23867176725039, -2.54874141861733, -2.4777721608874, -2.45282675632459, 
## -2.66570936061269, -2.52323176410967, -2.44035402273894, -2.435316805448, 
## -2.40883489283676, -2.29759755148301, -2.48027738140434, -2.33645216250562, 
## -2.38618411687036, -2.46298861448707, -2.30579022394299, -2.72174352823421, 
## -2.2876964805003, -2.16282315061889, -2.47088540842575, -2.22562405185792, 
## -2.23679735245604, -2.5937398549248, -2.46381074149327, -2.65854600619912, 
## -2.6069386997338, -2.48266915484781, -2.57465631793168, -2.43110051522947, 
## -2.45375688079578, -2.46381074149327, -2.32831324156678, -2.30579022394299, 
## -2.58269589994951, -2.2433732333622, -2.52323176410967, -2.17683388768849, 
## -2.14558134418438, -2.44495543428577, -2.27496992596107, -2.14643641050411, 
## -2.35482620483974, -2.34559698358734, -2.24999264287488, -2.48734963143914, 
## -2.19014966366426, -2.35788640877914, -2.29560947925762, -2.23586146095114, 
## -2.32780034213511, -2.46734181860853, -2.27011790285654, -2.32309396962559, 
## -2.16282315061889, -2.31445526556453, -2.47860653723952, -2.42193185062661, 
## -2.3995366190705, -2.15589071384324, -2.58216672941196, -2.08505728046547, 
## -2.16369309412743, -2.27886856637673, -2.62086383942329, -2.43691680578934, 
## -2.48975840051902, -2.29362535162257, -2.59883711612889, -2.45550319941876, 
## -2.33552159324031, -2.53363481587935, -2.39141630670066, -2.31213050583758, 
## -2.36616407463692, -2.24148999363423, -2.32872375060374, -2.53036437271278, 
## -2.35957881451417, -2.48867373635724, -2.31465767422831, -2.3998672158006, 
## -2.58800306379276, -2.49277754416857, -2.10701830945007, -2.08989599958369, 
## -2.52735496605284, -2.6685891322213, -2.26144314966287, -2.4813529715887, 
## -2.44391826911069, -2.51231895739834, -2.29263476214088, -2.26432638087696, 
## -2.14814873968963, -2.27399763614213, -2.52024371407769, -2.55863930776551, 
## -2.39832536527488, -2.09557092360972, -2.42226993594003, -2.61033382759614, 
## -2.44391826911069, -2.29859307172451, -2.35440484172384, -2.5834901811668, 
## -2.26721794915675, -2.44357278629502, -2.42384918048708, -2.22840569481979, 
## -2.52961117157248, -2.46334087187344, -2.48650793115497, -2.32554670463139, 
## -2.2595256035336, -2.18925640768704, -2.43212446434903, -2.45970684876626, 
## -2.2182439445603, -2.40163224659528, -2.23026443141442, -2.51120955820905, 
## -2.43030483459642, -2.30789918781781, -2.24999264287488, -2.17771611094818, 
## -2.28474517486571, -2.24431618487007, -2.39294753307444, -2.47005744693779, 
## -2.44368793397205, -2.52998770122864, -2.41743493467299, -2.4284885098832, 
## -2.5081343359073, -2.41385190542263, -2.2730262907525, -2.30288513800305, 
## -2.38825191975114, -2.47836807294842, -2.33469514691228, -2.71613277729557, 
## -2.27108642593467, -2.4725433908046, -2.45538668325201, -2.381087321149, 
## -2.36904545969432, -2.48063578293735, -2.52773064697893, -2.3128374694584, 
## -2.22192718997659, -2.4641632886501, -2.5948108054957, -2.49084424245475, 
## -2.44472486015517, -2.4875902474172, -2.37633928158271, -2.41396368097744, 
## -2.43588794030847, -2.51355306837812, -2.29560947925762, -2.40351101158401, 
## -2.41564181528634, -2.27691734624547, -2.39832536527488, -2.52685427759577, 
## -2.23399230152843, -2.26048391697541, -2.44865186912883, -2.21732524904322, 
## -2.30158559266096, -2.60748114618051, -2.61251277439315, -2.34476217189323, 
## -2.22933463125445, -2.41597778034914, -2.22100510600162, -2.15244243456433, 
## -2.37064982390818, -1.81155409655623, -2.0754495204103, -2.12527607802364, 
## -2.1345315079978, -2.51342958872124, -2.46840357768899, -2.2018351898939, 
## -2.3843375948663, -2.25474776357989, -2.23679735245604, -2.10537492370634, 
## -2.18480205733766, -1.98704469241387, -2.2730262907525, -2.31102057181515, 
## -2.35472084741457, -2.26721794915675, -2.23026443141442, -2.40761233086175, 
## -2.08104282304681, -2.20727491318972, -2.23212662934548, -2.28671174383776, 
## -2.37763196731696, -2.26528930825035, -2.09070473395855, -2.51355306837812, 
## -2.44553210231398, -2.30418637436102, -2.49193126472496, -2.44518606159307, 
## -2.38097916042206, -2.36085000112602, -2.42170652390191, -2.59950974681276, 
## -2.34695504072999, -2.49181042610479, -2.3816283003345, -2.51047064191927, 
## -2.4046178185592, -2.29958958401425, -2.51047064191927, -2.46828554877176, 
## -2.37935815179996, -2.59709039079395, -2.20818441757256, -2.1982250776698, 
## -2.47041220363755, -2.13876700776465, -2.13368655653223, -2.46816753378372, 
## -2.21091790446822, -1.94841327927343, -2.0572887370387, -2.357780728462, 
## -2.1294724752854, -2.06120877341878, -2.13199879241851, -2.5003045919681, 
## -2.47681943960538, -2.17948289586006, -2.172434408529, -2.31597433011306, 
## -2.14558134418438, -2.3196295276033, -2.32493295665795, -2.23026443141442, 
## -2.27886856637673, -2.23212662934548, -2.36148620091421, -2.13199879241851, 
## -2.19912638462582, -2.12276666641821, -2.36435411939168, -2.26336437984076, 
## -2.34236596300589, -2.32044361129536, -2.40983628374102, -2.36584443263324, 
## -2.28671174383776, -2.50568094900448, -2.09801292726527, -2.26240330336121, 
## -2.33160204206454, -2.20818441757256, -2.27205588795922, -2.43588794030847, 
## -2.44911488568994, -2.56589980899753, -2.49362454040772, -2.16456379509667, 
## -2.40174266452726, -2.35135525736347, -2.17419187822565, -2.51825662946955, 
## -2.32769779380912, -2.17683388768849, -2.08505728046547, -2.25474776357989, 
## -2.56122629666141, -2.14387340183922, -2.2595256035336, -2.50850286364319, 
## -2.23867176725039, -2.40694610831879, -2.23399230152843, -2.29560947925762, 
## -2.38901482099243, -2.38945102601571, -2.04716798112954, -2.23961029383266, 
## -2.05104846717862, -2.30920696930293, -2.22747762050724, -2.24148999363423, 
## -2.10784101620153, -2.33067597316057, -2.31526514615142, -2.35979056676483, 
## -2.40472856666275, -2.43360535543245, -2.17859911321305, -2.4108386784343, 
## -2.3859667019331, -2.60978983193469, -2.28082360121253, -2.26432638087696, 
## -2.27886856637673, -2.40983628374102, -2.32769779380912, -2.35514234373272, 
## -2.14558134418438, -2.52410496319216, -2.30368569843808, -1.96754244918243, 
## -2.46781357236182, -2.02041820123037, -2.43508844280714, -2.26625316374666, 
## -2.30930763875487, -2.54631407791736, -2.18747228589354, -2.32605844917969, 
## -2.35788640877914, -2.15244243456433, -2.4767004132409, -2.36733697022374, 
## -1.9330926453447, -2.2063662352535, -2.64296495444628, -2.43212446434903, 
## -2.49896500703904, -2.16282315061889, -2.2876964805003, -2.23867176725039, 
## -2.21457421567133, -2.29461692334487, -2.35788640877914, -2.36127408934273, 
## -2.40185309465271, -2.25284300109923, -2.33935281718626, -2.14814873968963, 
## -2.33088169214916, -2.21457421567133, -2.55194429112667, -2.16108553072035, 
## -2.21549038614311, -2.50862573640859, -2.30558960201434, -2.53275325924522, 
## -2.17595244206068, -2.3639287232351, -2.23305903034544, -2.32749272870023, 
## -2.36616407463692, -2.4471485441854, -2.19373068808196, -2.3739736890817, 
## -2.58826916278315, -2.44253705342149, -2.29065652212877, -2.47230636781226, 
## -2.47444159994024, -2.34403228290822, -2.42305924646192, -2.25474776357989, 
## -2.31719124538341, -2.07385716338594, -2.2966030213165, -2.43132796888677, 
## -2.39272864284701, -2.33314739857669, -2.3196295276033, -2.77242873503842, 
## -2.43737441934268, -2.21274438899426, -2.17068002211411, -2.3437196363526, 
## -2.40141144730094, -2.40163224659528, -2.37871048338354, -2.45480430597156, 
## -2.32544438714013, -2.29560947925762, -2.51577831345509, -2.23026443141442, 
## -2.43623077786396, -2.66642852641139, -2.2595256035336, -2.53313097407502, 
## -2.12026353620009, -2.60761680378094, -2.46240179444793, -2.34486648525065, 
## -2.41150750021823, -2.17068002211411, -2.02268320786123, -2.30609123232333, 
## -2.42181918091774, -2.21732524904322, -2.43360535543245, -2.30058709033137, 
## -2.50323356648088, -2.3979952777987, -2.42238265644964, -2.16980398176023, 
## -2.2966030213165, -2.357780728462, -2.27691734624547, -2.36840443403134, 
## -2.51900132355883, -2.47456035773386, -2.47159563572833, -2.31202955182205, 
## -2.25094185984221, -2.48039683431017, -2.53792775176525, -2.2182439445603, 
## -2.17068002211411, -2.55361384779779, -2.46934831087215, -2.40019792186105, 
## -2.48231002394073, -2.49823507999933, -2.32156405959185, -2.53502169121985, 
## -2.27594316204762, -2.23492644452023, -2.62900799376226, -2.43497428103979, 
## -2.33748714500331, -2.2896688677275, -2.29560947925762, -2.2424311701743, 
## -2.29461692334487, -2.26818366627671, -2.21091790446822, -2.37946613733, 
## -2.01365380114183, -2.19912638462582, -2.24148999363423, -2.30258509299405, 
## -2.44622454319566, -2.40805672593628, -2.54593135162578, -2.3303674740065, 
## -2.35714688098673, -2.53124382499637, -2.36180445265402, -2.22377391256976, 
## -2.74435118082854, -2.31932441699834, -2.42418791475329, -2.09964424899736, 
## -2.36669703846129, -2.41653797307008, -2.35219559354738, -2.28278246569787, 
## -2.54938117297348, -2.26625316374666, -2.54874141861733, -2.4777721608874, 
## -2.45282675632459, -2.66570936061269, -2.52323176410967, -2.44035402273894, 
## -2.435316805448, -2.40883489283676, -2.48027738140434, -2.33645216250562, 
## -2.46298861448707, -2.30579022394299, -2.72174352823421, -2.2876964805003, 
## -2.16282315061889, -2.47088540842575, -2.22562405185792, -2.23679735245604, 
## -2.42441380135918, -2.5937398549248, -2.46381074149327, -2.65854600619912, 
## -2.6069386997338, -2.4288288195683, -2.57465631793168, -2.43110051522947, 
## -2.45375688079578, -2.23119509690737, -2.46381074149327, -2.55954399280299, 
## -2.32831324156678, -2.30579022394299, -2.58269589994951, -2.17683388768849, 
## -2.14558134418438, -2.44495543428577, -2.27496992596107, -2.37418851185374, 
## -2.14643641050411, -2.14986400597638, -2.35482620483974, -2.34559698358734, 
## -2.48819204077953, -2.39513907460465, -2.29560947925762, -2.23586146095114, 
## -2.32780034213511, -2.46734181860853, -2.27011790285654, -2.32309396962559, 
## -2.16282315061889, -2.31445526556453, -2.42193185062661, -2.3995366190705, 
## -2.08505728046547, -2.16369309412743, -2.27886856637673, -2.62086383942329, 
## -2.43497428103979, -2.22377391256976, -2.43691680578934, -2.48975840051902, 
## -2.29362535162257, -2.45550319941876, -2.33552159324031, -2.33448864200705, 
## -2.53363481587935, -2.39141630670066, -2.31213050583758, -2.38260280098008, 
## -2.36616407463692, -2.24148999363423, -2.53036437271278, -2.30158559266096, 
## -2.35957881451417, -2.48867373635724, -2.3998672158006, -2.10701830945007, 
## -2.08989599958369, -2.6685891322213, -2.26144314966287, -2.4813529715887, 
## -2.44391826911069, -2.51231895739834, -2.65555263214446, -2.4811138515493, 
## -2.29263476214088, -2.30298517301539, -2.15416508787577, -2.14814873968963, 
## -2.27399763614213, -2.52011940554375, -2.52024371407769, -2.55863930776551, 
## -2.09557092360972, -2.42226993594003, -2.61033382759614, -2.31475889392575, 
## -2.44391826911069, -2.29859307172451, -2.35440484172384, -2.5834901811668, 
## -2.26721794915675, -2.42384918048708, -2.22840569481979, -2.52961117157248, 
## -2.46334087187344, -2.48650793115497, -2.2595256035336, -2.18925640768704, 
## -2.43212446434903, -2.28474517486571, -2.45970684876626, -2.2182439445603, 
## -2.40163224659528, -2.23026443141442, -2.51120955820905, -2.43030483459642, 
## -2.30789918781781, -2.24999264287488, -2.17771611094818, -2.28474517486571, 
## -2.41642590941781, -2.44368793397205, -2.41743493467299, -2.48518668899532, 
## -2.4284885098832, -2.5081343359073, -2.41385190542263, -2.30288513800305, 
## -2.38825191975114, -2.47836807294842, -2.33469514691228, -2.71613277729557, 
## -2.4725433908046, -2.20818441757256, -2.45538668325201, -2.381087321149, 
## -2.36904545969432, -2.48063578293735, -2.52773064697893, -2.3128374694584, 
## -2.22192718997659, -2.65997457787065, -2.5948108054957, -2.49084424245475, 
## -2.44472486015517, -2.4875902474172, -2.37633928158271, -2.14131694539792, 
## -2.41396368097744, -2.43588794030847, -2.56407973569218, -2.40351101158401, 
## -2.41564181528634, -2.6841383810559, -2.25761172735131, -2.39832536527488, 
## -2.52685427759577, -2.23399230152843, -2.30759763481759, -2.26048391697541, 
## -2.352405787978, -2.44865186912883, -2.21732524904322, -2.18213893991818, 
## -2.54618648621065, -2.30158559266096, -2.61251277439315, -2.34476217189323, 
## -2.22933463125445, -2.41597778034914, -2.29065652212877, -2.22100510600162, 
## -2.31435407659404, -2.15244243456433, -2.15589071384324, -2.37064982390818, 
## -1.81155409655623, -2.21091790446822, -2.12527607802364, -2.36159227357408, 
## -2.1345315079978, -2.51342958872124, -2.46840357768899, -2.2018351898939, 
## -2.31952781372436, -2.3843375948663, -2.25474776357989, -2.23679735245604, 
## -2.10537492370634, -1.98704469241387, -2.2730262907525, -2.46381074149327, 
## -2.31102057181515, -2.35472084741457, -2.23026443141442, -2.40761233086175, 
## -2.23212662934548, -2.28671174383776, -2.39076078389777, -2.33438540554384, 
## -2.25761172735131, -2.09070473395855, -2.30418637436102, -2.42622273345222, 
## -2.49193126472496, -2.38097916042206, -2.36085000112602, -2.42170652390191, 
## -2.46616340697086, -2.59950974681276, -2.34695504072999, -2.49181042610479, 
## -2.3816283003345, -2.51047064191927, -2.4046178185592, -2.29958958401425, 
## -2.51047064191927, -2.46828554877176, -2.37935815179996, -2.30971041793663, 
## -2.59709039079395, -2.2557015070952, -2.1982250776698, -2.32483070194137, 
## -2.47041220363755, -2.13876700776465, -2.94446897961645), compactness_se = c(-3.01511898735418, 
## -4.33667093295308, -3.21737694874447, -3.3977034924079, -4.28163846064261, 
## -3.49693765394299, -3.35183595212443, -2.62873083189796, -4.68107978008844, 
## -3.20374093728393, -2.48927618230594, -2.82413468012301, -3.16060691674423, 
## -4.45502752755837, -3.68847953409261, -4.22673375026785, -3.96436948580036, 
## -4.24609811744964, -2.93219425275, -3.9728351448249, -3.2704323117826, 
## -3.48839059336453, -3.60380328175882, -3.49561795728165, -3.37728556161584, 
## -3.55155526325072, -5.3187241763257, -4.5153294819883, -3.79914084837147, 
## -4.03758622840349, -2.2966030213165, -4.28019232879261, -3.22037695099447, 
## -4.10682208373321, -3.75673012102211, -4.24959584749339, -4.44220135770995, 
## -4.78190736448814, -3.51964313686864, -4.57561138374655, -4.74190670956156, 
## -3.76965576414122, -3.55609834288012, -4.75680736065105, -4.51076951056661, 
## -3.45396544720081, -3.23449720577116, -3.63136554791333, -4.04270132907026, 
## -4.6868141750286, -2.45271055157168, -4.1031835108893, -2.87955051926458, 
## -3.8800399595751, -4.00688328645211, -2.84061063668669, -2.68311371581218, 
## -4.09775035535693, -4.0710187369186, -3.33120500984212, -2.86593283601915, 
## -2.80511191394534, -4.0107389783673, -4.10500114241063, -3.51224068045548, 
## -3.99431824815498, -3.69168338144667, -3.12084208459684, -4.0074331902328, 
## -3.71153414467874, -4.56787440124439, -4.20572315020549, -3.29279150781837, 
## -3.35756334464209, -4.44050356443286, -4.31999124375443, -3.54218507496313, 
## -4.52451228297064, -5.09979443041607, -3.81853266234081, -3.80811354203763, 
## -3.53633005565365, -4.55924125409969, -2.44553210231398, -4.16240929313623, 
## -3.52948540196369, -3.20843056700666, -2.59749321053757, -3.28421466617654, 
## -3.81082112491918, -3.68608336681194, -2.69414729593322, -3.66399173860616, 
## -3.22489389719376, -4.7769079492424, -4.18055625904117, -2.32217574275905, 
## -3.42038020107893, -4.69192704991437, -4.44475346458219, -3.60050234349652, 
## -3.17366348204665, -3.44860350405943, -3.7066361757032, -4.2104290412429, 
## -3.93631569799719, -4.18975474702676, -4.25310585460704, -4.28308668681898, 
## -4.18580217271094, -3.35813789220171, -3.35297880939168, -5.17503835038787, 
## -3.94351367251952, -4.15856313454875, -3.04892210206811, -3.31511143274903, 
## -3.02063990926018, -3.77356626228113, -4.1401790985659, -2.91581265037812, 
## -4.71219875874661, -3.90355892701602, -4.1592031345706, -3.62646819399254, 
## -4.62649597270284, -5.09390821329008, -3.72762028243037, -3.48839059336453, 
## -3.78231139890649, -3.44986255364344, -3.67143254051022, -4.83044099831848, 
## -3.70095203534821, -3.31483621601411, -4.43965574751052, -4.54407508662828, 
## -4.58831306892167, -4.82743911989164, -2.42950978656771, -3.19564769874899, 
## -6.09593656870469, -5.0570981685066, -3.04513262384912, -3.78847881933669, 
## -3.28929828916475, -4.69061914782057, -4.74397258886855, -4.73573455600921, 
## -3.811273102328, -1.99952191850396, -4.02295456613543, -5.00028900204211, 
## -3.25839658303048, -4.14332474444382, -3.39680703336086, -2.93821836735338, 
## -4.13704331675522, -4.02911877730439, -3.66165346786034, -2.97182045350768, 
## -3.47119075348269, -3.95754352072996, -3.95336596896253, -4.38282695484465, 
## -4.19770707521725, -3.49298377729286, -4.39328982695259, -3.32118544369277, 
## -4.05878438682355, -2.45865427864393, -3.37028027902743, -3.17199223896935, 
## -3.4673371841667, -3.63287726399865, -3.76619255721661, -4.26869794936688, 
## -3.74059388980062, -4.50623023813319, -4.2488953220707, -3.43983426527707, 
## -3.77487316728091, -3.25502127150455, -4.10621473479259, -4.98892272719061, 
## -3.88149380039332, -4.56594947283481, -4.28091513330547, -3.5596071184098, 
## -3.58092231260884, -4.38362791604086, -5.31241629092754, -2.82784776455781, 
## -3.62421594078821, -3.42589999430253, -4.27874828522038, -2.88383318105658, 
## -4.57076875927076, -4.39978335626314, -3.24214445180756, -2.98439676389025, 
## -4.19770707521725, -4.01738352108597, -3.61972659542562, -3.04387264888193, 
## -3.08172598672097, -2.81424439750861, -2.81658240792567, -4.69893156580257, 
## -4.21448036346208, -3.3295280949718, -3.7272045684356, -3.82676316147732, 
## -3.03968416108317, -4.49005737888759, -3.00376444525126, -4.54031921366848, 
## -4.44902150349816, -4.20706543228622, -4.71075294856316, -4.497213044483, 
## -5.24496619105104, -3.70949040801806, -4.23913914712533, -3.81716747441547, 
## -3.35785057715879, -3.22867366734831, -4.82731423696922, -2.96500910091115, 
## -4.30877617293429, -2.49350349701352, -4.27227577071476, -2.24054970207459, 
## -3.85611537348985, -3.91052412930441, -4.19970507787993, -4.43965574751052, 
## -4.80936932130136, -4.40549999085952, -4.60018264447705, -4.28526296624157, 
## -4.23844590619636, -3.44108231536107, -3.39055422156368, -3.05082223987195, 
## -4.67109633610426, -3.75630213043137, -4.84584145417052, -5.32199549390261, 
## -5.58706667496024, -5.35785507926423, -5.11250192049983, -3.58704514823267, 
## -4.31250057202527, -5.80515096904449, -4.09895517477978, -2.71961683747368, 
## -4.52913549971209, -3.15472800504445, -4.28598944647694, -3.90405483577897, 
## -3.71686749065411, -4.25592275787816, -4.65499088097205, -3.87136102370926, 
## -3.42805483583204, -3.42497791032756, -4.50623023813319, -4.77572128718313, 
## -4.01905157818667, -3.77008950953948, -4.23429652264955, -3.92662915781751, 
## -3.48904547223535, -3.36072744910844, -3.97549542838372, -3.39085108960801, 
## -4.512591004695, -3.06379700446812, -4.51350299746227, -4.19571305661039, 
## -4.76205794152524, -3.72264308426675, -4.96313167145229, -2.72433203367649, 
## -3.1598996197679, -3.71686749065411, -3.38522561215246, -4.83596795623916, 
## -3.54080433604857, -4.71253270431659, -5.36168324216986, -3.88977239649333, 
## -4.10682208373321, -4.38202663467388, -3.96016338075608, -3.06315494987143, 
## -4.4990099901597, -3.56807875396823, -3.2398441313044, -4.20975541373343, 
## -3.9659513474537, -4.14332474444382, -4.0107389783673, -2.57137998972734, 
## -4.42035174899555, -3.51190550364658, -3.09026275740022, -4.03024363681558, 
## -3.96173859767408, -3.0878475624618, -3.29548692724004, -3.87617335253445, 
## -4.05013630755778, -3.49792857062193, -3.19491518742336, -3.92916916426312, 
## -3.28983491380869, -4.11597686234921, -3.35900033296237, -4.22058828879635, 
## -3.93018697605582, -3.29198429668884, -4.41952083910146, -3.29333001079315, 
## -4.76874849996491, -3.84717203310853, -4.38523176562283, -3.1055471395612, 
## -3.58560110466043, -3.76792266145439, -4.61048428081186, -4.67184431925608, 
## -3.62159470730834, -3.57269769982453, -4.24959584749339, -3.48904547223535, 
## -4.08995421392081, -3.24701813081448, -4.37168034261974, -3.88879487930894, 
## -3.90952612522956, -3.57234163786598, -3.97124236508812, -5.16781555848388, 
## -3.84063300934147, -2.77852631490653, -3.41276401803362, -3.60637823260219, 
## -3.19711433308669, -4.02239606290952, -4.29621597826077, -4.34665949083659, 
## -4.51441582271963, -4.68442986697372, -3.07088694715475, -4.46020441573791, 
## -4.31923964657512, -4.16048436472665, -3.89960048542959, -3.90455099058945, 
## -4.44731210137251, -3.88830647881083, -3.87520903230543, -2.8029654588985, 
## -3.9481684520645, -3.65389848521869, -4.76311137405667, -4.38523176562283, 
## -3.72222943379549, -4.71342377142835, -4.36615328551759, -3.80811354203763, 
## -2.92359767579479, -4.07395387257437, -4.20438266743104, -2.70950125336952, 
## -3.44860350405943, -4.37644225637998, -2.65569497076828, -3.91753818611626, 
## -4.16369464035689, -4.03419063940235, -3.47602869228516, -4.01960821610808, 
## -3.41489070879416, -2.9058915695542, -4.09474464224344, -4.5263590055638, 
## -4.23222826958549, -4.00633368489939, -4.27371049119042, -3.56383396513971, 
## -3.61191841297781, -4.60217467700829, -3.88635525867957, -4.28962978540791, 
## -3.68807977394337, -4.28962978540791, -3.57877023143391, -3.25553980923979, 
## -3.39442039738313, -3.09180274230472, -3.0183869641188, -3.75160628402224, 
## -3.00780485478826, -3.24009946131983, -4.42535175941225, -3.78759542705309, 
## -4.11659017116942, -4.10986437388014, -3.97549542838372, -3.75973119508589, 
## -4.1598435444548, -3.67300610495765, -3.43827638990358, -3.7937956240635, 
## -3.89124046624562, -4.0387206584741, -4.23844590619636, -4.69192704991437, 
## -3.42743869286738, -4.46280294470117, -4.00908471827128, -4.05878438682355, 
## -4.92979290625216, -3.65621867187439, -3.35383681030232, -4.63645447602786, 
## -2.74000537234376, -3.19126065783523, -4.44645849483327, -4.2889006566844, 
## -3.8637091451496, -4.92716768885499, -3.47894273028701, -4.50623023813319, 
## -3.48970078025356, -4.39571996180588, -3.99867081215382, -3.83830796760587, 
## -3.59867318622779, -3.80676249477065, -4.48827643451659, -3.07067136021848, 
## -3.51257596964554, -4.72417897257029, -3.14423228187243, -3.54356772295388, 
## -3.28849389174907, -2.78741813648578, -3.01511898735418, -4.33667093295308, 
## -3.21737694874447, -2.59588290423146, -3.3977034924079, -4.28163846064261, 
## -3.49693765394299, -3.35183595212443, -2.62873083189796, -4.68107978008844, 
## -3.46541595398881, -2.82413468012301, -3.16060691674423, -4.45502752755837, 
## -3.68847953409261, -3.96700731376091, -4.22673375026785, -3.96436948580036, 
## -4.24609811744964, -2.93219425275, -4.37485243092588, -3.2704323117826, 
## -3.37728556161584, -3.47959144909017, -3.40580799421984, -3.55155526325072, 
## -3.68927953413528, -3.50822595442068, -5.3187241763257, -4.5153294819883, 
## -3.79914084837147, -4.50804347525737, -4.03758622840349, -3.84109866709145, 
## -4.28019232879261, -3.22037695099447, -4.24959584749339, -4.28163846064261, 
## -4.62966781758849, -4.44220135770995, -4.78190736448814, -3.51964313686864, 
## -4.57561138374655, -4.74190670956156, -3.55609834288012, -4.75680736065105, 
## -4.55162941906006, -4.51076951056661, -3.45396544720081, -2.6512918672836, 
## -3.23449720577116, -3.76792266145439, -4.04270132907026, -4.6868141750286, 
## -2.45271055157168, -4.1031835108893, -2.87955051926458, -3.8800399595751, 
## -4.00688328645211, -3.81535011816789, -3.56171830849726, -2.84061063668669, 
## -2.68311371581218, -4.09775035535693, -3.33120500984212, -2.86593283601915, 
## -2.80511191394534, -4.0107389783673, -4.10500114241063, -3.51224068045548, 
## -3.99431824815498, -3.69168338144667, -3.12084208459684, -4.0074331902328, 
## -3.71153414467874, -4.56787440124439, -4.20572315020549, -3.29279150781837, 
## -4.2246810639501, -4.31999124375443, -3.54218507496313, -4.20773724957719, 
## -4.52451228297064, -5.09979443041607, -3.80811354203763, -3.53633005565365, 
## -4.55924125409969, -2.44553210231398, -4.16240929313623, -3.52948540196369, 
## -3.20843056700666, -2.59749321053757, -3.28421466617654, -3.68608336681194, 
## -2.69414729593322, -3.66399173860616, -4.7769079492424, -4.18055625904117, 
## -2.32217574275905, -4.36144000106549, -3.42038020107893, -4.69192704991437, 
## -3.60050234349652, -3.17366348204665, -3.44860350405943, -3.7066361757032, 
## -4.2104290412429, -3.93631569799719, -4.18975474702676, -4.25310585460704, 
## -4.42118334987508, -4.28308668681898, -4.18580217271094, -3.35813789220171, 
## -3.94351367251952, -4.05416277258927, -4.02799518168057, -3.04892210206811, 
## -3.31511143274903, -3.02063990926018, -3.77356626228113, -4.1401790985659, 
## -4.47238907475427, -2.91581265037812, -2.34486648525065, -4.71219875874661, 
## -3.90355892701602, -4.1592031345706, -3.00497485492092, -4.62649597270284, 
## -5.09390821329008, -3.48839059336453, -3.44986255364344, -3.67143254051022, 
## -4.83044099831848, -4.62374157157353, -3.70095203534821, -3.31483621601411, 
## -4.29035944614806, -3.76317205869579, -3.85328251040555, -4.58831306892167, 
## -4.82743911989164, -2.42950978656771, -3.19564769874899, -6.09593656870469, 
## -5.0570981685066, -3.67418790537095, -3.04513262384912, -3.78847881933669, 
## -3.28929828916475, -4.27227577071476, -4.42284862919414, -4.69061914782057, 
## -4.74397258886855, -4.73573455600921, -3.811273102328, -1.99952191850396, 
## -4.02295456613543, -5.00028900204211, -2.97162519821076, -4.14332474444382, 
## -3.39680703336086, -2.93821836735338, -3.29737805302316, -4.02911877730439, 
## -3.66165346786034, -2.97182045350768, -3.47119075348269, -3.95754352072996, 
## -3.95336596896253, -4.38282695484465, -4.19770707521725, -3.49298377729286, 
## -4.39328982695259, -3.32118544369277, -4.05878438682355, -3.58560110466043, 
## -2.45865427864393, -3.29413830936875, -3.37028027902743, -3.17199223896935, 
## -3.4673371841667, -3.63287726399865, -4.50623023813319, -4.2488953220707, 
## -4.82071766068067, -3.43983426527707, -3.77487316728091, -3.25502127150455, 
## -3.90803098415861, -4.98892272719061, -4.56594947283481, -4.28091513330547, 
## -3.46317917401804, -3.5596071184098, -3.58092231260884, -5.31241629092754, 
## -3.42589999430253, -4.27874828522038, -4.1547317122372, -2.88383318105658, 
## -4.57076875927076, -4.39978335626314, -3.24214445180756, -2.98439676389025, 
## -4.19770707521725, -4.01738352108597, -3.61972659542562, -3.04387264888193, 
## -3.08172598672097, -2.81424439750861, -3.6667266494728, -4.14901196356441, 
## -4.50442028288795, -2.81658240792567, -4.69893156580257, -4.4178610876831, 
## -4.21448036346208, -3.7272045684356, -3.82676316147732, -3.03968416108317, 
## -5.59672340236279, -4.49005737888759, -4.44902150349816, -4.20706543228622, 
## -4.71075294856316, -4.497213044483, -4.17273862965011, -3.70949040801806, 
## -4.23913914712533, -3.81716747441547, -3.22867366734831, -4.82731423696922, 
## -2.96500910091115, -4.30877617293429, -2.49350349701352, -4.27227577071476, 
## -2.24054970207459, -3.85611537348985, -4.19970507787993, -4.43965574751052, 
## -4.40549999085952, -4.60018264447705, -4.28526296624157, -4.23844590619636, 
## -3.44108231536107, -3.39055422156368, -3.05082223987195, -4.67109633610426, 
## -3.62985611366448, -3.75630213043137, -4.84584145417052, -5.32199549390261, 
## -5.58706667496024, -4.69838256771027, -5.11250192049983, -3.58704514823267, 
## -4.31250057202527, -4.26655738486777, -5.80515096904449, -5.15560326434886, 
## -4.09895517477978, -2.71961683747368, -4.52913549971209, -3.90405483577897, 
## -3.71686749065411, -4.25592275787816, -4.65499088097205, -4.4811842062071, 
## -3.87136102370926, -3.28181562464207, -3.42805483583204, -3.42497791032756, 
## -4.94428591355472, -3.24496315963152, -4.23429652264955, -3.92662915781751, 
## -3.48904547223535, -3.36072744910844, -3.97549542838372, -3.39085108960801, 
## -4.512591004695, -3.06379700446812, -4.19571305661039, -4.76205794152524, 
## -2.72433203367649, -3.1598996197679, -3.71686749065411, -3.38522561215246, 
## -3.16178685788407, -3.23602198370317, -4.83596795623916, -3.54080433604857, 
## -4.71253270431659, -3.88977239649333, -4.10682208373321, -4.01460959420325, 
## -4.38202663467388, -3.96016338075608, -3.06315494987143, -4.27730632390348, 
## -4.4990099901597, -3.56807875396823, -4.20975541373343, -3.62122080564012, 
## -3.9659513474537, -4.14332474444382, -2.57137998972734, -3.09026275740022, 
## -4.03024363681558, -3.0878475624618, -3.29548692724004, -3.87617335253445, 
## -4.05013630755778, -3.49792857062193, -4.25804065489289, -2.70770026233792, 
## -3.19491518742336, -4.29401575735117, -3.53085058988903, -3.28983491380869, 
## -4.11597686234921, -4.36379386641282, -3.35900033296237, -4.22058828879635, 
## -3.29198429668884, -4.41952083910146, -3.29333001079315, -4.35441146764091, 
## -4.76874849996491, -3.84717203310853, -4.38523176562283, -3.1055471395612, 
## -3.58560110466043, -4.61048428081186, -4.67184431925608, -3.62159470730834, 
## -3.57269769982453, -4.24959584749339, -4.08995421392081, -3.24701813081448, 
## -4.37168034261974, -4.66258745685804, -3.88879487930894, -3.90952612522956, 
## -3.57234163786598, -3.97124236508812, -5.16781555848388, -3.84063300934147, 
## -2.77852631490653, -3.41276401803362, -3.60637823260219, -3.19711433308669, 
## -4.09534506255568, -4.51441582271963, -3.07088694715475, -3.14469642669395, 
## -4.46020441573791, -4.31923964657512, -4.16048436472665, -3.90455099058945, 
## -4.44731210137251, -3.88830647881083, -3.87520903230543, -2.8029654588985, 
## -3.65389848521869, -4.38122695450332, -4.76311137405667, -4.38523176562283, 
## -3.72222943379549, -4.71342377142835, -4.36615328551759, -3.80811354203763, 
## -2.92359767579479, -4.08697180789269, -4.20438266743104, -2.70950125336952, 
## -3.44860350405943, -4.37644225637998, -2.65569497076828, -3.44014613180073, 
## -3.91753818611626, -4.16369464035689, -4.79839092365105, -4.01960821610808, 
## -3.41489070879416, -4.33133352035836, -3.85658829854005, -4.09474464224344, 
## -4.5263590055638, -4.23222826958549, -4.80532990091193, -4.00633368489939, 
## -2.59414132699443, -4.27371049119042, -3.56383396513971, -4.34897878062768, 
## -4.79463721094292, -3.61191841297781, -3.88635525867957, -4.28962978540791, 
## -3.68807977394337, -4.28962978540791, -3.43765391867277, -3.57877023143391, 
## -4.00688328645211, -3.25553980923979, -4.15600722261421, -3.39442039738313, 
## -3.09180274230472, -3.81762233000666, -3.75160628402224, -4.42035174899555, 
## -3.00780485478826, -3.24009946131983, -4.42535175941225, -3.78759542705309, 
## -4.0107389783673, -4.11659017116942, -4.10986437388014, -3.97549542838372, 
## -3.75973119508589, -3.67300610495765, -3.43827638990358, -5.13280292807046, 
## -3.7937956240635, -3.89124046624562, -4.23844590619636, -4.69192704991437, 
## -4.00908471827128, -4.05878438682355, -3.47732277205165, -3.38788636760248, 
## -3.64352375239314, -3.35383681030232, -3.19126065783523, -3.06765801312558, 
## -4.44645849483327, -3.8637091451496, -4.92716768885499, -3.47894273028701, 
## -4.48916651023178, -4.50623023813319, -3.48970078025356, -4.39571996180588, 
## -3.99867081215382, -3.83830796760587, -3.59867318622779, -3.80676249477065, 
## -4.48827643451659, -3.07067136021848, -3.51257596964554, -3.62009993871911, 
## -4.72417897257029, -3.02742936029725, -3.54356772295388, -3.7201637441537, 
## -3.28849389174907, -2.78741813648578, -5.36873983084458), texture_worst = c(3.84564929607836, 
## 4.39399418633571, 4.55828921539398, 4.4211241551246, 4.71271039433389, 
## 4.74618886322936, 4.91933405670256, 5.49170795573549, 5.1148322519163, 
## 4.68587539087759, 4.86780056544559, 5.00062492188965, 5.30184459476561, 
## 4.92899890199126, 4.9672866665904, 4.03444047673929, 4.14699403807913, 
## 3.66818867730445, 4.01749018754573, 4.9723474900504, 4.22683509877394, 
## 5.07450645475586, 4.68445475787559, 4.05870187270786, 4.74480308344018, 
## 4.68445475787559, 4.3453390314034, 4.53345042416724, 4.59470138513544, 
## 5.20054352680722, 5.07207842375622, 4.86450250302232, 4.2199261916611, 
## 4.27462740540287, 4.73299200833398, 4.16566697228562, 4.37627106269926, 
## 4.22079093808333, 4.45108063957035, 4.98054948250216, 4.31731157691913, 
## 4.74618886322936, 4.91739656048269, 4.29899485449732, 3.85786568417726, 
## 4.66877250239633, 4.03162425409815, 5.09023188209693, 4.9723474900504, 
## 4.42825357700912, 4.33219157542828, 4.63564962539988, 5.11124712616235, 
## 4.17979251337981, 4.37788780062843, 4.00136370799379, 4.98243842645474, 
## 4.50452373965997, 5.0099800597908, 4.37627106269926, 5.09925984037004, 
## 5.04460038283339, 4.51064286511708, 4.71411457400721, 4.82189254351365, 
## 4.89858891132473, 4.90444106677773, 3.93665456449412, 4.81247233739534, 
## 4.5813897395165, 4.30733851517092, 4.58879422265363, 4.4589011555627, 
## 4.97424265314624, 4.18506724920057, 3.82822637799617, 4.92771242891074, 
## 4.06055740376743, 5.05195727576962, 4.65370756626545, 4.38595481282061, 
## 4.31149915094838, 4.70074195576864, 4.73716716909308, 4.81516751663526, 
## 4.23286346360635, 4.55379225305673, 4.41953690473458, 4.34041740713414, 
## 4.06796436841826, 4.60426960897484, 3.81894651195118, 4.69225794719606, 
## 4.90444106677773, 4.72462012983057, 3.70223861716733, 4.44008824220022, 
## 4.34041740713414, 4.40759828979585, 5.21780342847701, 4.57321828343664, 
## 3.94545627679901, 5.09685554064732, 3.89411597678992, 4.59322595812653, 
## 4.97991951661426, 4.03350212602557, 4.96158092693842, 4.55454233489475, 
## 4.27968997796331, 4.22942061247119, 3.6803321374997, 3.4881652680553, 
## 4.53874091045711, 4.26277156096358, 3.76030887491783, 4.62110518228067, 
## 4.55379225305673, 4.08912563560772, 4.31648211802796, 4.85325597503937, 
## 3.73790915557037, 4.14788668902207, 4.53496319009936, 4.74133518110845, 
## 3.95325104412725, 3.93273153639511, 4.60867288259549, 3.89411597678992, 
## 4.62183449590202, 4.78331042054293, 4.75172411533717, 4.57990609284585, 
## 4.61526269721601, 5.02054044452534, 3.66597344862832, 4.86318204216207, 
## 4.02880451447434, 3.81584452507305, 4.47136044125528, 4.76756833954403, 
## 4.80639733438528, 3.72176758750256, 5.0908347519036, 5.05073262206906, 
## 3.88310217785028, 4.61964589127126, 4.22597261650997, 4.62838838909742, 
## 4.06518959300002, 5.30461763543518, 4.40120616682715, 4.17715059261016, 
## 5.42165939938186, 4.27800368129042, 5.12258263348064, 4.49531539967184, 
## 4.8796372255157, 4.76138067250417, 4.5813897395165, 5.04214328851219, 
## 5.55137593525295, 4.49069780205868, 4.12456366980809, 4.37869575168726, 
## 4.52207395926043, 4.81584084911856, 3.69678266390047, 4.72531888820021, 
## 4.51750811014081, 4.74133518110845, 4.66089306552781, 4.67305957436053, 
## 4.47756557994607, 5.7250741812419, 3.82513742469316, 4.34779596076712, 
## 4.89076444551659, 4.40919360925164, 3.80131055253282, 4.0391263923702, 
## 4.95649816088697, 4.88160449712241, 5.10705804269966, 5.54784383979588, 
## 5.31568005236977, 4.02503937366727, 4.89011128798296, 5.48447656291417, 
## 5.69944420254844, 4.01465271367111, 4.1362549488282, 4.73368836607226, 
## 4.61818571423201, 4.90638871527655, 4.83595544584434, 3.88310217785028, 
## 5.19186958268757, 4.20865485453779, 4.66591022465882, 4.56277773074029, 
## 4.52511300047923, 4.48529922188488, 4.28390036534887, 5.25367423284224, 
## 4.33301546451814, 4.977398061134, 4.68303329080159, 4.97928939162397, 
## 5.80649267996141, 4.35596712356414, 4.87438349362812, 4.41238100619215, 
## 4.53420692714647, 3.72500546771211, 4.74895806068259, 4.18155210571024, 
## 5.16274115651175, 4.00896702468464, 4.00896702468464, 4.4643601672029, 
## 4.60059403590832, 5.23266824566795, 3.93861349816864, 4.78126284597665, 
## 4.52511300047923, 4.07442566880621, 4.36735901153395, 4.68658539494554, 
## 3.65486318971188, 4.30567217570052, 4.60353494442031, 4.28894276917322, 
## 4.60720602154206, 4.09644010087559, 4.57470607871923, 3.86090927635756, 
## 3.8044330617929, 3.57313465469149, 4.39238851250693, 4.53798584507042, 
## 4.45812026715483, 4.61087149610063, 4.36654714126594, 4.83395137977617, 
## 4.48298177738099, 4.97613637696856, 4.14341994534426, 4.10918408776423, 
## 3.80547291455154, 3.85278371543535, 4.25682080339513, 3.74860430284226, 
## 3.33461827035041, 4.07626837901377, 4.51826969357939, 4.39319148665841, 
## 4.12185715449991, 4.15768292970039, 4.36329684217773, 4.19907427922337, 
## 4.99123464718118, 4.22510981161163, 4.20081917204225, 4.8966351137691, 
## 4.27631615777365, 4.27378256776766, 4.57693603923099, 4.76825489106129, 
## 5.07086352975503, 3.80235188130695, 4.65442707939607, 4.91933405670256, 
## 4.23630118715586, 4.36654714126594, 4.09369993366443, 5.16098279528589, 
## 3.92880160458909, 4.05498624312565, 4.67020237121107, 3.90606913806289, 
## 4.1736232924066, 3.88510875184718, 4.07902964158111, 4.45421195165986, 
## 4.40759828979585, 5.0751130969265, 3.68582950234986, 4.56203022993144, 
## 3.88310217785028, 4.51979212962875, 4.19032989622769, 4.81853233316707, 
## 4.59248790411271, 4.2525608748516, 4.62037564745409, 5.11064911059594, 
## 4.62547775120469, 4.5784215265119, 4.93862626226538, 3.67592419710848, 
## 4.37465320891252, 4.12185715449991, 4.02315444464448, 4.34615829494115, 
## 5.21722997447023, 4.06981233359486, 5.05073262206906, 4.15056255337101, 
## 4.17715059261016, 4.78535628237399, 4.37141414682473, 3.84972892391568, 
## 4.98180893733216, 4.03725319225232, 4.90054116752379, 4.34451948048039, 
## 4.78740043468991, 4.5784215265119, 4.19732806150465, 4.13446018295962, 
## 4.4791143283873, 4.72112332197546, 4.11552943063158, 4.48838562918339, 
## 3.79609650233605, 4.56203022993144, 4.0642639124341, 4.66662611195927, 
## 4.54928680787707, 4.7969173026623, 5.25649971528638, 4.62547775120469, 
## 4.73577624450677, 4.97171544875428, 5.289607608586, 4.68089952389297, 
## 4.95204221081654, 4.7120079998809, 3.80339271755236, 4.66447781347784, 
## 4.07258146061223, 4.55604179233441, 4.37465320891252, 4.80098466524709, 
## 5.00249875093668, 4.70638151598143, 4.35351877174842, 4.52359396475879, 
## 4.93221217091729, 4.92384900352362, 4.47058365452776, 4.24230491665047, 
## 4.73716716909308, 4.0391263923702, 4.6565843327947, 3.86293601702622, 
## 4.38595481282061, 4.27968997796331, 4.89533172440296, 5.3789243482449, 
## 4.33959612712433, 4.76344497143527, 5.00437117689173, 4.74895806068259, 
## 4.93413813813035, 5.3431303609114, 4.29062114000629, 5.53924614207584, 
## 5.39342611034402, 4.99248872462087, 5.29016509938456, 5.15099568604474, 
## 4.96031120783185, 4.44244806790354, 4.43220506774196, 4.55604179233441, 
## 4.55304193558474, 4.48915660389326, 4.79623875179676, 4.56501883193107, 
## 5.0817765373419, 3.93469391170234, 4.04286814109814, 4.04286814109814, 
## 4.68445475787559, 4.36492255576514, 4.72741395924518, 4.62402111104245, 
## 3.9444800183149, 3.50017120752803, 4.55154059307216, 4.89728655105185, 
## 4.59764951947146, 3.74433252136007, 4.76825489106129, 4.76962741533791, 
## 4.29062114000629, 4.46747395638393, 4.92127004033648, 5.05807160953597, 
## 4.43062526611781, 3.74646945527153, 3.91697011212309, 4.16920652420897, 
## 5.25706443832225, 3.87304201366326, 3.87102449594356, 4.84927432396436, 
## 4.74064100771146, 4.36329684217773, 4.60793956404291, 4.4698066128653, 
## 4.25596944489609, 3.89711029325023, 4.66089306552781, 4.56576539912967, 
## 4.36004202368276, 3.95713827061974, 4.53042200855463, 4.03537843777246, 
## 3.63696722222788, 3.6803321374997, 4.73508048403053, 4.7921634933305, 
## 4.12095426849246, 5.13801256667971, 5.01184689693292, 4.93156984974714, 
## 4.99311552733089, 4.07350375212876, 5.01805965188487, 5.30406326607349, 
## 4.81112363659015, 4.25852258139477, 4.28137504979732, 4.5006912691636, 
## 4.75448703520705, 5.2383625553961, 4.52207395926043, 5.22353090036469, 
## 5.17559876883805, 4.35106785374955, 5.13623697910506, 4.68516517856677, 
## 5.30350877738352, 5.3659655010133, 4.83261442759844, 4.62256358846899, 
## 5.12912215905078, 5.42589455648472, 3.84564929607836, 4.39399418633571, 
## 4.55828921539398, 4.62984238922248, 4.4211241551246, 4.71271039433389, 
## 4.74618886322936, 4.91933405670256, 5.49170795573549, 5.1148322519163, 
## 4.71271039433389, 5.00062492188965, 5.30184459476561, 4.92899890199126, 
## 4.9672866665904, 4.92899890199126, 4.03444047673929, 4.14699403807913, 
## 3.66818867730445, 4.01749018754573, 5.21493487007181, 4.22683509877394, 
## 4.74480308344018, 5.00561868253273, 4.93028470867799, 4.68445475787559, 
## 4.80639733438528, 4.89533172440296, 4.3453390314034, 4.53345042416724, 
## 4.59470138513544, 4.88815077944616, 5.20054352680722, 4.73647180615168, 
## 4.86450250302232, 4.2199261916611, 4.16566697228562, 4.98872460173249, 
## 4.57247403882814, 4.37627106269926, 4.22079093808333, 4.45108063957035, 
## 4.98054948250216, 4.31731157691913, 4.91739656048269, 4.29899485449732, 
## 3.63921234008317, 3.85786568417726, 4.66877250239633, 4.83929193082027, 
## 4.03162425409815, 5.08540372897595, 4.9723474900504, 4.42825357700912, 
## 4.33219157542828, 4.63564962539988, 5.11124712616235, 4.17979251337981, 
## 4.37788780062843, 4.48452699202674, 3.28480883728916, 4.00136370799379, 
## 4.98243842645474, 4.50452373965997, 4.37627106269926, 5.09925984037004, 
## 5.04460038283339, 4.51064286511708, 4.71411457400721, 4.82189254351365, 
## 4.89858891132473, 4.90444106677773, 3.93665456449412, 4.81247233739534, 
## 4.5813897395165, 4.30733851517092, 4.58879422265363, 4.4589011555627, 
## 4.61453138729751, 3.82822637799617, 4.92771242891074, 5.19649935898102, 
## 4.06055740376743, 5.05195727576962, 4.38595481282061, 4.31149915094838, 
## 4.70074195576864, 4.73716716909308, 4.81516751663526, 4.23286346360635, 
## 4.55379225305673, 4.41953690473458, 4.34041740713414, 4.60426960897484, 
## 3.81894651195118, 4.69225794719606, 4.72462012983057, 3.70223861716733, 
## 4.44008824220022, 3.70332816754794, 4.34041740713414, 4.40759828979585, 
## 4.57321828343664, 3.94545627679901, 5.09685554064732, 3.89411597678992, 
## 4.59322595812653, 4.97991951661426, 4.03350212602557, 4.96158092693842, 
## 5.08419524488049, 4.55454233489475, 4.27968997796331, 4.22942061247119, 
## 4.53874091045711, 4.64866495826235, 4.16743743155859, 3.76030887491783, 
## 4.62110518228067, 4.55379225305673, 4.08912563560772, 4.31648211802796, 
## 4.44951342604587, 4.85325597503937, 4.05591572233258, 3.73790915557037, 
## 4.14788668902207, 4.53496319009936, 4.52663106781278, 3.95325104412725, 
## 3.93273153639511, 3.89411597678992, 4.78331042054293, 4.75172411533717, 
## 4.57990609284585, 3.221496909402, 4.61526269721601, 5.02054044452534, 
## 4.36085615277429, 3.81584452507305, 3.79296212815746, 4.02880451447434, 
## 3.81584452507305, 4.47136044125528, 4.76756833954403, 4.80639733438528, 
## 3.72176758750256, 5.05256937888436, 5.0908347519036, 5.05073262206906, 
## 3.88310217785028, 4.7385572993759, 4.20778553942227, 4.61964589127126, 
## 4.22597261650997, 4.62838838909742, 4.06518959300002, 5.30461763543518, 
## 4.40120616682715, 4.17715059261016, 4.72112332197546, 4.27800368129042, 
## 5.12258263348064, 4.49531539967184, 5.00374719065992, 4.76138067250417, 
## 4.5813897395165, 5.04214328851219, 5.55137593525295, 4.49069780205868, 
## 4.12456366980809, 4.37869575168726, 4.52207395926043, 4.81584084911856, 
## 3.69678266390047, 4.72531888820021, 4.51750811014081, 3.95907935613536, 
## 4.74133518110845, 5.1720985907114, 4.66089306552781, 4.67305957436053, 
## 4.47756557994607, 5.7250741812419, 4.40919360925164, 3.80131055253282, 
## 4.08454211051463, 4.0391263923702, 4.95649816088697, 4.88160449712241, 
## 4.50987883531407, 5.54784383979588, 4.02503937366727, 4.89011128798296, 
## 4.60573826407968, 5.48447656291417, 5.69944420254844, 4.1362549488282, 
## 4.90638871527655, 4.83595544584434, 4.72392117056727, 3.88310217785028, 
## 5.19186958268757, 4.20865485453779, 4.66591022465882, 4.56277773074029, 
## 4.52511300047923, 4.48529922188488, 4.28390036534887, 5.25367423284224, 
## 4.33301546451814, 4.977398061134, 5.91342843222292, 5.41210504547204, 
## 4.96665334045321, 4.68303329080159, 4.97928939162397, 4.82725933452894, 
## 5.80649267996141, 4.87438349362812, 4.41238100619215, 4.53420692714647, 
## 4.16123482951012, 3.72500546771211, 5.16274115651175, 4.00896702468464, 
## 4.00896702468464, 4.4643601672029, 4.25596944489609, 5.23266824566795, 
## 3.93861349816864, 4.78126284597665, 4.07442566880621, 4.36735901153395, 
## 4.68658539494554, 3.65486318971188, 4.30567217570052, 4.60353494442031, 
## 4.28894276917322, 4.60720602154206, 4.57470607871923, 3.86090927635756, 
## 3.57313465469149, 4.39238851250693, 4.53798584507042, 4.45812026715483, 
## 4.61087149610063, 4.36654714126594, 4.83395137977617, 4.48298177738099, 
## 4.24487317517505, 4.97613637696856, 4.14341994534426, 4.10918408776423, 
## 3.80547291455154, 4.63347355254343, 4.25682080339513, 3.74860430284226, 
## 3.33461827035041, 4.31482231351887, 4.07626837901377, 3.75605990535429, 
## 4.51826969357939, 4.39319148665841, 4.12185715449991, 4.19907427922337, 
## 4.99123464718118, 4.22510981161163, 4.20081917204225, 3.91301228983002, 
## 4.8966351137691, 4.53420692714647, 4.27631615777365, 4.27378256776766, 
## 4.28305889879237, 5.14392222535321, 4.65442707939607, 4.91933405670256, 
## 4.23630118715586, 4.36654714126594, 4.09369993366443, 5.16098279528589, 
## 3.92880160458909, 4.05498624312565, 3.90606913806289, 4.1736232924066, 
## 4.45421195165986, 4.40759828979585, 5.0751130969265, 3.68582950234986, 
## 4.31399196742674, 4.50682025822858, 4.56203022993144, 3.88310217785028, 
## 4.51979212962875, 4.81853233316707, 4.59248790411271, 4.55229138231215, 
## 4.2525608748516, 4.62037564745409, 5.11064911059594, 4.44401997544328, 
## 4.62547775120469, 4.5784215265119, 3.67592419710848, 4.26446897202882, 
## 4.37465320891252, 4.12185715449991, 4.34615829494115, 5.05073262206906, 
## 4.15056255337101, 4.78535628237399, 4.37141414682473, 3.84972892391568, 
## 4.98180893733216, 4.03725319225232, 4.10008852884187, 4.00326694607662, 
## 4.90054116752379, 3.66708134606272, 4.83261442759844, 4.78740043468991, 
## 4.5784215265119, 4.54401968563775, 4.19732806150465, 4.13446018295962, 
## 4.72112332197546, 4.11552943063158, 4.48838562918339, 4.36248356180047, 
## 3.79609650233605, 4.56203022993144, 4.0642639124341, 4.66662611195927, 
## 4.54928680787707, 5.25649971528638, 4.62547775120469, 4.73577624450677, 
## 4.97171544875428, 5.289607608586, 4.95204221081654, 4.7120079998809, 
## 3.80339271755236, 4.79962962791266, 4.66447781347784, 4.07258146061223, 
## 4.55604179233441, 4.37465320891252, 4.80098466524709, 5.00249875093668, 
## 4.70638151598143, 4.35351877174842, 4.52359396475879, 4.93221217091729, 
## 4.15145381301131, 4.73716716909308, 4.6565843327947, 5.20746150097278, 
## 3.86293601702622, 4.38595481282061, 4.27968997796331, 5.3789243482449, 
## 4.33959612712433, 4.76344497143527, 5.00437117689173, 4.74895806068259, 
## 5.3431303609114, 3.8044330617929, 4.29062114000629, 5.53924614207584, 
## 5.39342611034402, 4.99248872462087, 5.29016509938456, 5.15099568604474, 
## 4.96031120783185, 4.99874968738276, 4.43220506774196, 4.55604179233441, 
## 4.55304193558474, 4.48915660389326, 4.79623875179676, 4.54853507309582, 
## 4.56501883193107, 5.0817765373419, 5.35239743682106, 4.04286814109814, 
## 4.68445475787559, 4.26107290477726, 4.26955375498823, 4.72741395924518, 
## 4.62402111104245, 3.9444800183149, 4.40360525003346, 3.50017120752803, 
## 4.19470624578159, 4.55154059307216, 4.89728655105185, 4.24316132001179, 
## 3.95422348371184, 4.59764951947146, 4.76825489106129, 4.76962741533791, 
## 4.29062114000629, 4.46747395638393, 4.35106785374955, 4.92127004033648, 
## 4.14163080129856, 5.05807160953597, 4.22683509877394, 4.43062526611781, 
## 3.74646945527153, 4.45421195165986, 4.16920652420897, 3.88911647055105, 
## 5.25706443832225, 3.87304201366326, 3.87102449594356, 4.84927432396436, 
## 3.83644251728315, 4.74064100771146, 4.36329684217773, 4.60793956404291, 
## 4.4698066128653, 3.89711029325023, 4.66089306552781, 4.62474954134985, 
## 4.56576539912967, 4.36004202368276, 4.53042200855463, 4.03537843777246, 
## 4.73508048403053, 4.7921634933305, 4.67662633771017, 4.63056906010227, 
## 4.55454233489475, 5.01184689693292, 4.07350375212876, 4.98306775683589, 
## 5.01805965188487, 4.81112363659015, 4.25852258139477, 4.28137504979732, 
## 4.56277773074029, 4.5006912691636, 4.75448703520705, 5.2383625553961, 
## 4.52207395926043, 5.22353090036469, 5.17559876883805, 4.35106785374955, 
## 5.13623697910506, 4.68516517856677, 5.30350877738352, 5.07207842375622, 
## 5.3659655010133, 5.59835498011832, 4.62256358846899, 5.36325756817213, 
## 5.12912215905078, 5.42589455648472, 4.89598350492003), smoothness_worst = c(-1.40183650096854, 
## -1.55220612193591, -1.46803241840246, -1.34354252185399, -1.46880785019902, 
## -1.39048277340616, -1.3733916940331, -1.3231236019111, -1.57721525174517, 
## -1.48685434191659, -1.64440052484827, -1.39154061904023, -1.38206798475272, 
## -1.46031914038324, -1.34420937914042, -1.46958403520788, -1.52091312537128, 
## -1.51595585913422, -1.48923877900503, -1.33888905569403, -1.42981400758559, 
## -1.43724005615725, -1.51021197356396, -1.54490367636292, -1.39649510187451, 
## -1.46725773804559, -1.67785425471799, -1.6941150453434, -1.40613457096515, 
## -1.30508782071433, -1.54833143908053, -1.44548787503347, -1.38171920194798, 
## -1.52715454306599, -1.34521064424351, -1.44888634599264, -1.61942689900374, 
## -1.59390494932646, -1.53428953643525, -1.48963688528217, -1.54747305858427, 
## -1.40112232198728, -1.49804385635261, -1.65226073987208, -1.53640067966101, 
## -1.39578550727826, -1.67097631500598, -1.32377475234327, -1.42870591413312, 
## -1.53008450627828, -1.45344000592858, -1.57188106834428, -1.41516143031734, 
## -1.48092447390449, -1.57944902805708, -1.4549636269214, -1.39578550727826, 
## -1.53050398030052, -1.42539062731438, -1.43314735095279, -1.4195297558875, 
## -1.48844316751003, -1.49442988431315, -1.48606112392627, -1.52340366783141, 
## -1.54747305858427, -1.52423562829466, -1.53555552814175, -1.60725220038208, 
## -1.5440491267089, -1.65970839141552, -1.50980330884167, -1.42759932289029, 
## -1.57321108034171, -1.5957317618608, -1.47308623661435, -1.47308623661435, 
## -1.41552457144521, -1.60354616102531, -1.42465571958716, -1.56045122596102, 
## -1.32019949774685, -1.57587816190535, -1.37408250358882, -1.37477388194629, 
## -1.45916852210433, -1.53134361222597, -1.71744592147873, -1.52590223262381, 
## -1.36617225167842, -1.44661911204314, -1.57810796637572, -1.31502542614399, 
## -1.32247294325797, -1.62749770507757, -1.42870591413312, -1.37581201847778, 
## -1.65028764768472, -1.58799851382772, -1.45763692373978, -1.65226073987208, 
## -1.49083240917807, -1.53640067966101, -1.47464772083503, -1.42944447588348, 
## -1.48725124924937, -1.55870797763166, -1.45993541772284, -1.53809377073995, 
## -1.57321108034171, -1.48092447390449, -1.49844643513038, -1.55393453399349, 
## -1.52008471650699, -1.52091312537128, -1.47582084584847, -1.49123131965263, 
## -1.6642143643724, -1.51925718980053, -1.67734248825545, -1.39898347234133, 
## -1.50898661988177, -1.4549636269214, -1.56132435202346, -1.72699126094039, 
## -1.53640067966101, -1.5816894624428, -1.50207895410352, -1.60308420688558, 
## -1.47036097520833, -1.46493818798572, -1.55653452068464, -1.64050222044834, 
## -1.5830369390616, -1.49483061874586, -1.49123131965263, -1.48487278500486, 
## -1.62559067609645, -1.58573917754001, -1.52548524538613, -1.47935063364482, 
## -1.76360044982201, -1.58573917754001, -1.45002235376791, -1.47974380144674, 
## -1.60447093386092, -1.55393453399349, -1.51636776051741, -1.50288846770294, 
## -1.61612925391863, -1.43426150312693, -1.69406265936793, -1.82475510742266, 
## -1.34554466088782, -1.61565936633134, -1.36173387206049, -1.72435994432552, 
## -1.42723079211313, -1.47386659627565, -1.4928289806949, -1.43314735095279, 
## -1.20942243559218, -1.47503857052102, -1.45002235376791, -1.47935063364482, 
## -1.60911220342376, -1.50572836428609, -1.55914341511068, -1.57855472125531, 
## -1.53428953643525, -1.5500510954301, -1.46185586833818, -1.48329110073087, 
## -1.68681869997878, -1.48210690487441, -1.49483061874586, -1.48289617228522, 
## -1.42723079211313, -1.53597798799109, -1.52715454306599, -1.59756306683032, 
## -1.55696871583034, -1.34822152100929, -1.70382130009779, -1.66300999675367, 
## -1.55870797763166, -1.44511114728777, -1.53134361222597, -1.62321385571701, 
## -1.49925221154687, -1.53513329980447, -1.64440052484827, -1.50654165744372, 
## -1.69511112194495, -1.46070304656148, -1.44097866837128, -1.54533130870895, 
## -1.44699654296734, -1.48963688528217, -1.56394977145742, -1.37097832354581, 
## -1.47895766029479, -1.44775193389517, -1.44210361946329, -1.5338680007895, 
## -1.35225267363822, -1.44511114728777, -1.59848041238222, -1.62179145524877, 
## -1.48487278500486, -1.56307362195144, -1.6602076580791, -1.54447628247046, 
## -1.5114392519592, -1.50207895410352, -1.53767014868934, -1.45916852210433, 
## -1.51967084302662, -1.50167451022945, -1.54319552829131, -1.5500510954301, 
## -1.63807637754432, -1.34654749739611, -1.6448892914313, -1.43985527553856, 
## -1.49925221154687, -1.66642765300822, -1.64391208808319, -1.60678792964066, 
## -1.68221925036159, -1.64881136280715, -1.60586026106885, -1.6635617469794, 
## -1.52049881052667, -1.4530595505586, -1.49764148352008, -1.52673688116944, 
## -1.58213835253834, -1.69805517741032, -1.59710481795407, -1.69108309352359, 
## -1.59436123275711, -1.44850803159816, -1.63807637754432, -1.50654165744372, 
## -1.48013716393439, -1.68588605530976, -1.60123926203061, -1.66970988531176, 
## -1.7134488980851, -1.65473472907519, -1.65721725562206, -1.57143825131019, 
## -1.61801181100177, -1.61237852008231, -1.4719171273346, -1.55957910209346, 
## -1.74733746712263, -1.48447706788501, -1.63614151870987, -1.42907511146058, 
## -1.41262392240711, -1.54447628247046, -1.49163043179358, -1.41334812638161, 
## -1.47152780472688, -1.53092368218281, -1.47582084584847, -1.55914341511068, 
## -1.4660971225983, -1.59481779571206, -1.48447706788501, -1.44097866837128, 
## -1.52840888279519, -1.55436724964736, -1.47817229601729, -1.56088766354308, 
## -1.46185586833818, -1.50127027462458, -1.53050398030052, -1.56001503892749, 
## -1.43500511941966, -1.52882744837297, -1.66481730933909, -1.42796802003095, 
## -1.43537718258408, -1.38837110473461, -1.72206575085892, -1.58981090884964, 
## -1.65523054910995, -1.51225851047311, -1.69905686874236, -1.5957317618608, 
## -1.52673688116944, -1.56307362195144, -1.5147214601588, -1.53513329980447, 
## -1.50005881482507, -1.52840888279519, -1.47935063364482, -1.60216116098467, 
## -1.42355459440915, -1.61191101750064, -1.55350206373273, -1.59436123275711, 
## -1.61051028430753, -1.53640067966101, -1.22152482402453, -1.40613457096515, 
## -1.61659944171252, -1.72561952965551, -1.47464772083503, -1.58393660330422, 
## -1.52091312537128, -1.64979521705898, -1.5466156397054, -1.46185586833818, 
## -1.44586477827542, -1.47269634305255, -1.68645585838021, -1.60493375343096, 
## -1.54962081859927, -1.31663899762533, -1.49563269960508, -1.69716013926355, 
## -1.63904574231491, -1.50005881482507, -1.56614458542139, -1.6933296655119, 
## -1.45344000592858, -1.55134338153222, -1.46455224894641, -1.49764148352008, 
## -1.620844718463, -1.62511469446343, -1.59208260255658, -1.47503857052102, 
## -1.43686713977629, -1.44022956699973, -1.52008471650699, -1.54747305858427, 
## -1.47935063364482, -1.59253777203273, -1.48606112392627, -1.60216116098467, 
## -1.52465194351403, -1.47777990462435, -1.46571062459338, -1.38661545837086, 
## -1.48923877900503, -1.40505795674331, -1.5626359263642, -1.57099569380803, 
## -1.60586026106885, -1.64586781621825, -1.48884087316261, -1.62749770507757, 
## -1.67310899881542, -1.54149117490669, -1.52132766132703, -1.48487278500486, 
## -1.55740315875384, -1.61942689900374, -1.49804385635261, -1.69045742134115, 
## -1.43612181989407, -1.56526589687447, -1.55783784979882, -1.58124084060449, 
## -1.48289617228522, -1.56088766354308, -1.60957793643666, -1.40973345879038, 
## -1.50248360650758, -1.50857859510293, -1.53344669542821, -1.5683457783542, 
## -1.50491591473139, -1.4900351922394, -1.56570511374899, -1.55393453399349, 
## -1.64244875130296, -1.6308470262566, -1.51266846242613, -1.51513270923389, 
## -1.58981090884964, -1.49442988431315, -1.56526589687447, -1.63132675755449, 
## -1.48804566180285, -1.43129381087306, -1.59481779571206, -1.44135347866954, 
## -1.52215739771971, -1.69139613830031, -1.60586026106885, -1.56176129175274, 
## -1.43426150312693, -1.53597798799109, -1.46031914038324, -1.34254321262109, 
## -1.56922805174919, -1.30732186646871, -1.27470462970427, -1.38766840258161, 
## -1.36343818040496, -1.62702048148246, -1.59618916589, -1.41916483956829, 
## -1.54876099075454, -1.4530595505586, -1.44964350687541, -1.46339554627544, 
## -1.45610823795418, -1.32410051225878, -1.50857859510293, -1.47542961211584, 
## -1.47777990462435, -1.39507651854449, -1.40112232198728, -1.52924624061376, 
## -1.48764835579712, -1.43873343573348, -1.50572836428609, -1.42796802003095, 
## -1.54106567708497, -1.49322890198397, -1.351243091246, -1.54447628247046, 
## -1.41117742285008, -1.50735579633476, -1.63324884496924, -1.62749770507757, 
## -1.56176129175274, -1.5321841580014, -1.46147141032506, -1.66220820932499, 
## -1.62037180769071, -1.55393453399349, -1.61284631918178, -1.55696871583034, 
## -1.49163043179358, -1.54064041483767, -1.62702048148246, -1.64979521705898, 
## -1.52673688116944, -1.70042993006451, -1.48250144041222, -1.48131842185686, 
## -1.59618916589, -1.39189353324403, -1.40183650096854, -1.55220612193591, 
## -1.46803241840246, -1.24682371794616, -1.34354252185399, -1.46880785019902, 
## -1.39048277340616, -1.3733916940331, -1.3231236019111, -1.57721525174517, 
## -1.59985855657163, -1.39154061904023, -1.38206798475272, -1.46031914038324, 
## -1.34420937914042, -1.44210361946329, -1.46958403520788, -1.52091312537128, 
## -1.51595585913422, -1.48923877900503, -1.48487278500486, -1.42981400758559, 
## -1.39649510187451, -1.39756063251601, -1.44323013407429, -1.46725773804559, 
## -1.42318788167546, -1.46725773804559, -1.67785425471799, -1.6941150453434, 
## -1.40613457096515, -1.61706993017923, -1.30508782071433, -1.43537718258408, 
## -1.44548787503347, -1.38171920194798, -1.44888634599264, -1.58573917754001, 
## -1.62131793415638, -1.61942689900374, -1.59390494932646, -1.53428953643525, 
## -1.48963688528217, -1.54747305858427, -1.49804385635261, -1.65226073987208, 
## -1.36309704347488, -1.53640067966101, -1.39578550727826, -1.39543093725709, 
## -1.67097631500598, -1.39259981106491, -1.42870591413312, -1.53008450627828, 
## -1.45344000592858, -1.57188106834428, -1.41516143031734, -1.48092447390449, 
## -1.57944902805708, -1.44661911204314, -1.46532431312868, -1.4549636269214, 
## -1.39578550727826, -1.53050398030052, -1.43314735095279, -1.4195297558875, 
## -1.48844316751003, -1.49442988431315, -1.48606112392627, -1.52340366783141, 
## -1.54747305858427, -1.52423562829466, -1.53555552814175, -1.60725220038208, 
## -1.5440491267089, -1.65970839141552, -1.50980330884167, -1.42759932289029, 
## -1.51925718980053, -1.47308623661435, -1.47308623661435, -1.54064041483767, 
## -1.41552457144521, -1.60354616102531, -1.56045122596102, -1.32019949774685, 
## -1.57587816190535, -1.37408250358882, -1.37477388194629, -1.45916852210433, 
## -1.53134361222597, -1.71744592147873, -1.52590223262381, -1.44661911204314, 
## -1.57810796637572, -1.31502542614399, -1.62749770507757, -1.42870591413312, 
## -1.37581201847778, -1.52049881052667, -1.65028764768472, -1.58799851382772, 
## -1.65226073987208, -1.49083240917807, -1.53640067966101, -1.47464772083503, 
## -1.42944447588348, -1.48725124924937, -1.55870797763166, -1.45993541772284, 
## -1.47777990462435, -1.53809377073995, -1.57321108034171, -1.48092447390449, 
## -1.52008471650699, -1.48013716393439, -1.62559067609645, -1.47582084584847, 
## -1.49123131965263, -1.6642143643724, -1.51925718980053, -1.67734248825545, 
## -1.52715454306599, -1.39898347234133, -1.52924624061376, -1.50898661988177, 
## -1.4549636269214, -1.56132435202346, -1.47817229601729, -1.53640067966101, 
## -1.5816894624428, -1.60308420688558, -1.46493818798572, -1.55653452068464, 
## -1.64050222044834, -1.47113867198634, -1.5830369390616, -1.49483061874586, 
## -1.56176129175274, -1.43500511941966, -1.56176129175274, -1.62559067609645, 
## -1.58573917754001, -1.52548524538613, -1.47935063364482, -1.76360044982201, 
## -1.58573917754001, -1.4572544797648, -1.45002235376791, -1.47974380144674, 
## -1.60447093386092, -1.52548524538613, -1.43873343573348, -1.55393453399349, 
## -1.51636776051741, -1.50288846770294, -1.61612925391863, -1.43426150312693, 
## -1.69406265936793, -1.82475510742266, -1.51925718980053, -1.61565936633134, 
## -1.36173387206049, -1.72435994432552, -1.51677987989553, -1.47386659627565, 
## -1.4928289806949, -1.43314735095279, -1.20942243559218, -1.47503857052102, 
## -1.45002235376791, -1.47935063364482, -1.60911220342376, -1.50572836428609, 
## -1.55914341511068, -1.57855472125531, -1.53428953643525, -1.59481779571206, 
## -1.5500510954301, -1.42465571958716, -1.46185586833818, -1.48329110073087, 
## -1.68681869997878, -1.48210690487441, -1.53597798799109, -1.52715454306599, 
## -1.50898661988177, -1.59756306683032, -1.55696871583034, -1.34822152100929, 
## -1.3733916940331, -1.66300999675367, -1.44511114728777, -1.53134361222597, 
## -1.55653452068464, -1.62321385571701, -1.49925221154687, -1.64440052484827, 
## -1.46070304656148, -1.44097866837128, -1.6137828087638, -1.54533130870895, 
## -1.44699654296734, -1.48963688528217, -1.56394977145742, -1.37097832354581, 
## -1.47895766029479, -1.44775193389517, -1.44210361946329, -1.5338680007895, 
## -1.35225267363822, -1.44511114728777, -1.31341485905556, -1.43835983334882, 
## -1.55134338153222, -1.59848041238222, -1.62179145524877, -1.42502309090337, 
## -1.48487278500486, -1.6602076580791, -1.54447628247046, -1.5114392519592, 
## -1.73845567122268, -1.50207895410352, -1.51967084302662, -1.50167451022945, 
## -1.54319552829131, -1.5500510954301, -1.57543299233561, -1.34654749739611, 
## -1.6448892914313, -1.43985527553856, -1.66642765300822, -1.64391208808319, 
## -1.60678792964066, -1.68221925036159, -1.64881136280715, -1.60586026106885, 
## -1.6635617469794, -1.52049881052667, -1.49764148352008, -1.52673688116944, 
## -1.69805517741032, -1.59710481795407, -1.69108309352359, -1.59436123275711, 
## -1.44850803159816, -1.63807637754432, -1.50654165744372, -1.48013716393439, 
## -1.59390494932646, -1.68588605530976, -1.60123926203061, -1.66970988531176, 
## -1.7134488980851, -1.55870797763166, -1.65721725562206, -1.57143825131019, 
## -1.61801181100177, -1.50654165744372, -1.61237852008231, -1.66220820932499, 
## -1.4719171273346, -1.55957910209346, -1.74733746712263, -1.42907511146058, 
## -1.41262392240711, -1.54447628247046, -1.49163043179358, -1.5338680007895, 
## -1.41334812638161, -1.47503857052102, -1.47152780472688, -1.53092368218281, 
## -1.58393660330422, -1.44737415018464, -1.48447706788501, -1.44097866837128, 
## -1.52840888279519, -1.55436724964736, -1.47817229601729, -1.56088766354308, 
## -1.46185586833818, -1.50127027462458, -1.56001503892749, -1.43500511941966, 
## -1.42796802003095, -1.43537718258408, -1.38837110473461, -1.72206575085892, 
## -1.61612925391863, -1.50817078309823, -1.58981090884964, -1.65523054910995, 
## -1.51225851047311, -1.5957317618608, -1.52673688116944, -1.51021197356396, 
## -1.56307362195144, -1.5147214601588, -1.53513329980447, -1.49804385635261, 
## -1.50005881482507, -1.52840888279519, -1.60216116098467, -1.57232414528024, 
## -1.42355459440915, -1.61191101750064, -1.59436123275711, -1.22152482402453, 
## -1.40613457096515, -1.72561952965551, -1.47464772083503, -1.58393660330422, 
## -1.52091312537128, -1.64979521705898, -1.7431069913647, -1.61331441525618, 
## -1.5466156397054, -1.50817078309823, -1.3810220723387, -1.44586477827542, 
## -1.47269634305255, -1.63036761017151, -1.68645585838021, -1.60493375343096, 
## -1.31663899762533, -1.49563269960508, -1.69716013926355, -1.58124084060449, 
## -1.63904574231491, -1.50005881482507, -1.56614458542139, -1.6933296655119, 
## -1.45344000592858, -1.46455224894641, -1.49764148352008, -1.620844718463, 
## -1.62511469446343, -1.59208260255658, -1.43686713977629, -1.44022956699973, 
## -1.52008471650699, -1.53344669542821, -1.54747305858427, -1.47935063364482, 
## -1.59253777203273, -1.48606112392627, -1.60216116098467, -1.52465194351403, 
## -1.47777990462435, -1.46571062459338, -1.38661545837086, -1.48923877900503, 
## -1.56088766354308, -1.60586026106885, -1.48884087316261, -1.47113867198634, 
## -1.62749770507757, -1.67310899881542, -1.54149117490669, -1.48487278500486, 
## -1.55740315875384, -1.61942689900374, -1.49804385635261, -1.69045742134115, 
## -1.56526589687447, -1.50654165744372, -1.55783784979882, -1.58124084060449, 
## -1.48289617228522, -1.56088766354308, -1.60957793643666, -1.40973345879038, 
## -1.50248360650758, -1.65423925053115, -1.53344669542821, -1.5683457783542, 
## -1.50491591473139, -1.4900351922394, -1.56570511374899, -1.34721671179882, 
## -1.55393453399349, -1.64244875130296, -1.69228385560889, -1.51513270923389, 
## -1.58981090884964, -1.69427222671242, -1.50451000564169, -1.56526589687447, 
## -1.63132675755449, -1.48804566180285, -1.56922805174919, -1.43129381087306, 
## -1.57989658074747, -1.59481779571206, -1.44135347866954, -1.43686713977629, 
## -1.66965927489485, -1.52215739771971, -1.60586026106885, -1.56176129175274, 
## -1.43426150312693, -1.53597798799109, -1.48053072134206, -1.46031914038324, 
## -1.59802159816531, -1.34254321262109, -1.41697874282747, -1.56922805174919, 
## -1.30732186646871, -1.48447706788501, -1.38766840258161, -1.50369881751537, 
## -1.36343818040496, -1.62702048148246, -1.59618916589, -1.41916483956829, 
## -1.55870797763166, -1.54876099075454, -1.4530595505586, -1.44964350687541, 
## -1.46339554627544, -1.32410051225878, -1.50857859510293, -1.61051028430753, 
## -1.47542961211584, -1.47777990462435, -1.40112232198728, -1.52924624061376, 
## -1.50572836428609, -1.42796802003095, -1.61565936633134, -1.47425706282928, 
## -1.53936603838066, -1.351243091246, -1.50735579633476, -1.50939485770457, 
## -1.63324884496924, -1.56176129175274, -1.5321841580014, -1.46147141032506, 
## -1.56922805174919, -1.66220820932499, -1.62037180769071, -1.55393453399349, 
## -1.61284631918178, -1.55696871583034, -1.49163043179358, -1.54064041483767, 
## -1.62702048148246, -1.64979521705898, -1.52673688116944, -1.55091237656436, 
## -1.70042993006451, -1.47856488116327, -1.48131842185686, -1.58393660330422, 
## -1.59618916589, -1.39189353324403, -1.71490460342403), symmetry_worst = c(-0.948518649356509, 
## -1.81385035698237, -1.32733106607223, -1.1682236591391, -1.61373662475265, 
## -1.53774568838613, -1.02267961437611, -1.02683069843001, -1.68354734341879, 
## -1.24784901230815, -1.54886720493838, -1.33518672982535, -1.07947517897193, 
## -1.6339618107143, -1.28531705455465, -1.6655620734172, -1.54440602504168, 
## -2.04061017820884, -0.927595663724632, -1.32733106607223, -1.13650734223903, 
## -1.06281945915844, -2.13360799774556, -1.8096965887973, -0.898550724637681, 
## -1.0606668389142, -2.48674163825318, -3.05560139165559, -1.77492901430698, 
## -1.67359179185323, -0.926655171438096, -1.29109441738175, -1.24485540536667, 
## -1.58921268038777, -1.20256307610174, -1.81593234259298, -2.12920069507667, 
## -1.78980963790557, -1.63877023069482, -1.86694595618265, -1.47839238026982, 
## -1.36288848203546, -1.28886874970487, -2.04971159487191, -1.35342087180173, 
## -1.66864419123526, -1.49108728516819, -1.43857892266411, -1.7280746576794, 
## -2.08248290463863, -1.07583125960433, -1.9598138139316, -1.47471570930472, 
## -1.93064634475351, -1.90881552497052, -1.26555094594136, -0.711630722733202, 
## -1.79389862629642, -1.80555636306181, -1.3676524573408, -2.12130294982622, 
## -2.16035148134034, -1.44061358492657, -1.29020360821199, -1.63937262623419, 
## -1.17981500374447, -1.66864419123526, -1.56291772787971, -1.98251531466764, 
## -1.95593886064618, -2.44225128149598, -1.86477939744156, -1.75690378382672, 
## -1.29287820852485, -2.23808718958129, -1.79868588198793, -1.83623558432291, 
## -1.69358427576559, -1.85328560426458, -1.90583283432253, -1.76221765322067, 
## -1.56518133530493, -1.6618737658522, -1.14075866336532, -1.76022231091473, 
## -1.97385851785602, -2.23903903399297, -2.08418500306765, -2.09701896683472, 
## -1.69736933323268, -2.05054204942691, -2.92067831305123, -1.34029955479447, 
## -1.49534990859376, -0.862405173218095, -1.64178520364615, -1.52344281721127, 
## -2.41941738241592, -2.11345034894864, -1.39519918732522, -1.75227257197787, 
## -1.9298874594593, -1.47891857229768, -1.39568851487512, -1.75491687996779, 
## -1.39031751810405, -1.8327118988321, -1.5869030194791, -2.83368244522832, 
## -1.8662233651353, -1.42293173005074, -2.36228102239682, -1.58921268038777, 
## -1.78505582052232, -1.35719831132296, -1.82989993080951, -0.632034671494683, 
## -1.74502943136569, -1.85543287977493, -2.12568498503517, -1.47000564743879, 
## -1.74044194062115, -1.22371054699841, -1.58459781164493, -1.97857340009713, 
## -1.98884682155025, -1.82219881722458, -1.55334527259351, -2.04639487720259, 
## -1.31360250635687, -2.19960525565808, -1.3384376262469, -1.8880789567987, 
## -1.77291338952272, -2.30331482911935, -1.761552186221, -1.72419461361929, 
## -1.84189375197649, -1.92837100659193, -1.91180505926984, -1.61905746683644, 
## -2.17482860723433, -2.73646490874199, -1.12423733983001, -1.41145957686351, 
## -2.69970686492617, -1.53222399672915, -1.9436150336255, -1.53553390593274, 
## -2.0144782295185, -0.782612903765608, -2.28451216777744, -2.57748607123174, 
## -1.52727651691069, -1.63696483726654, -1.60374985078224, -2.10910714179416, 
## -0.900989043238912, -1.87201546331183, -1.69610635477286, -1.5366392784487, 
## -1.00420884063055, -1.6429932929823, -1.42243053204966, -1.65819656951131, 
## -1.49481622664415, -1.11286403182345, -2.152273992687, -1.70815718395649, 
## -1.97229061149479, -2.99531908151406, -1.31953065154646, -1.4314859277946, 
## -1.73456843486636, -1.83976900644465, -1.61255739919515, -1.6184651012597, 
## -1.1650482901036, -1.99520862275621, -1.61432667073989, -1.6798045339746, 
## -1.76221765322067, -1.42644629234223, -1.74700067253984, -1.70688312201064, 
## -2.05137301508329, -1.80900561271674, -2.23903903399297, -2.60043706228236, 
## -1.74437304201154, -1.97621386243772, -1.71326660034339, -1.4773407121036, 
## -1.87564877129273, -1.70116605098803, -1.72484044638468, -1.89323214521904, 
## -1.42544102716222, -1.87492129146064, -1.57713646794481, -1.81454397349388, 
## -1.57029026747251, -1.44061358492657, -1.61079072337059, -1.76755413484372, 
## -1.50392220818424, -1.49374959569404, -1.61137932729061, -1.86117654460525, 
## -1.73456843486636, -1.68855556781659, -2.04391267992747, -1.33148302326385, 
## -1.91855666953546, -1.82569355949001, -1.75756678635263, -1.75227257197787, 
## -1.99680383488716, -2.24476359978009, -1.80831501247306, -1.94745384990834, 
## -2.13891543583711, -1.50392220818424, -1.59152680872644, -1.33797263040563, 
## -1.80005700128253, -2.47325440842584, -1.99600599001747, -2.0282974725538, 
## -2.16215288929717, -1.67918184092775, -1.49909254054319, -2.19590679148344, 
## -1.67483182287313, -1.44010458076891, -1.59152680872644, -2.10910714179416, 
## -1.76421617535536, -2.32034978967903, -2.49693750413288, -1.8954469356581, 
## -2.23808718958129, -1.67111549107176, -1.85973822213232, -1.48472248992878, 
## -2.25147166248137, -1.51147493610312, -1.88441061089581, -1.65697329692419, 
## -2.20053140083543, -2.35710200950299, -1.97621386243772, -1.94976252766682, 
## -1.43502693286363, -2.56792473218354, -1.77157143202357, -1.57199813184547, 
## -2.58710770259687, -1.91630224993979, -1.6184651012597, -2.09787887217882, 
## -0.682691445788528, -1.87710496100081, -1.8575837490523, -1.59036918522861, 
## -1.63997532105098, -1.33518672982535, -1.48578087187875, -1.95748747642702, 
## -1.9050882279228, -2.05553552826906, -1.71775470803394, -1.9276134381717, 
## -1.61965012343041, -1.66248771065756, -1.48102573092353, -1.14463853966039, 
## -1.80349130564482, -2.05386898390929, -1.72677996249965, -1.5869030194791, 
## -1.74568616603648, -1.57828133482257, -1.8270941429378, -1.06966617277021, 
## -1.29243198883197, -1.88221458097702, -1.9405520311955, -2.11519149203145, 
## -2.05386898390929, -2.0373157543605, -2.23238955690485, -1.89470825224657, 
## -1.81801774160606, -1.8201065633589, -1.91555164097267, -1.49695242258118, 
## -1.992023920279, -1.8201065633589, -0.879561418604534, -2.01044073656347, 
## -1.85686639270039, -1.46948348873484, -1.56178753983291, -1.92458754139111, 
## -1.85328560426458, -1.43654786582851, -1.10310698975869, -1.45908956637123, 
## -1.53442956921802, -2.27276302636913, -1.7668858325529, -1.82359556450936, 
## -2.01852794126098, -1.86550117901428, -1.9405520311955, -2.04473957139505, 
## -1.23254091917618, -1.62202366475002, -2.48561304016257, -1.9298874594593, 
## -1.79389862629642, -1.51093383510043, -2.03238919272756, -1.53167324846093, 
## -2.17210263331832, -2.21543355460736, -1.79458141198112, -2.00963469882313, 
## -1.61550763031094, -1.40256139153357, -1.66802714570214, -1.65270148685892, 
## -2.10304969931109, -1.55615268811606, -1.51744360676264, -1.60667853866973, 
## -1.73196685431038, -1.64965934300906, -1.79663198301, -1.63036797913392, 
## -1.78844957698328, -1.81801774160606, -1.53774568838613, -2.12656307060115, 
## -1.67297224689699, -1.73587126708281, -1.95593886064618, -1.63216356146074, 
## -1.64723109301103, -1.54719228915016, -1.47471570930472, -1.83130514088461, 
## -1.98964038503598, -2.32742322407915, -1.96837895066273, -2.63863607042713, 
## -1.84971477076266, -1.75161236742064, -1.92307721324537, -1.66864419123526, 
## -1.33333333333333, -2.02340381113284, -2.19960525565808, -2.16576273636713, 
## -2.17664889448334, -2.04308629539244, -1.49748708391334, -2.2678959977632, 
## -1.72419461361929, -2.16485939411725, -2.15137939524202, -1.64541308288245, 
## -1.89175771526834, -1.53002254809104, -2.23049544646902, -1.74963384269795, 
## -1.95053298754495, -1.61728124220584, -2.16938199225083, -1.54998513446837, 
## -2.07908508224002, -1.8575837490523, -1.93673329589478, -1.64783770109722, 
## -1.97307433264506, -1.47209664229407, -2.07738934943665, -2.12042821715165, 
## -1.52071210083019, -1.9551652341871, -2.03649340670876, -1.49962818425708, 
## -1.50769247373693, -2.18853908291695, -1.8583015058264, -2.10910714179416, 
## -1.51907671538893, -1.63036797913392, -2.01609664451249, -1.30997016489089, 
## -1.70879470776142, -1.6285750571483, -1.74765844497931, -1.79321620905441, 
## -1.64359778867931, -1.9193090083481, -2.13980199800554, -1.34029955479447, 
## -2.18670321209332, -1.61550763031094, -1.60726513354043, -1.93597088022076, 
## -1.60902663692541, -1.29645450956099, -1.55953038653916, -1.74700067253984, 
## -1.99840095936045, -1.6618737658522, -1.37195739086684, -1.58632630060416, 
## -2.30331482911935, -1.79253415992383, -2.01771701845154, -1.53222399672915, 
## -1.77560160745518, -1.8504281432826, -1.77762154604325, -1.61668974825337, 
## -1.78641222831377, -2.14424337037824, -1.83341585914639, -2.02177654966643, 
## -1.89102112820481, -1.86261647624009, -1.85543287977493, -2.03402937550546, 
## -1.55278458694543, -2.07654227570788, -2.05303648179888, -2.10650781176591, 
## -2.23903903399297, -2.2051713353118, -2.02015126103685, -2.20889437396518, 
## -2.35194139889245, -3.05398695719269, -1.69547535069575, -2.40652649239232, 
## -2.24667694835586, -1.12843889570337, -0.948518649356509, -1.81385035698237, 
## -1.32733106607223, -0.45477319096941, -1.1682236591391, -1.61373662475265, 
## -1.53774568838613, -1.02267961437611, -1.02683069843001, -1.68354734341879, 
## -1.77358490566038, -1.33518672982535, -1.07947517897193, -1.6339618107143, 
## -1.28531705455465, -1.80142960634853, -1.6655620734172, -1.54440602504168, 
## -2.04061017820884, -0.927595663724632, -1.76488305748928, -1.13650734223903, 
## -0.898550724637681, -1.36622113937971, -1.30049180992225, -1.0606668389142, 
## -0.867991506742528, -1.33750782881173, -2.48674163825318, -3.05560139165559, 
## -1.77492901430698, -1.6551406867881, -1.67359179185323, -1.27078700106134, 
## -1.29109441738175, -1.24485540536667, -1.81593234259298, -1.7326167397057, 
## -2.05470199922352, -2.12920069507667, -1.78980963790557, -1.63877023069482, 
## -1.86694595618265, -1.47839238026982, -1.28886874970487, -2.04971159487191, 
## -1.52453688425121, -1.35342087180173, -1.66864419123526, -1.75029300308675, 
## -1.49108728516819, -1.47052804196902, -1.7280746576794, -2.08248290463863, 
## -1.07583125960433, -1.9598138139316, -1.47471570930472, -1.93064634475351, 
## -1.90881552497052, -1.88514344942906, -1.84189375197649, -1.26555094594136, 
## -0.711630722733202, -1.79389862629642, -1.3676524573408, -2.12130294982622, 
## -2.16035148134034, -1.44061358492657, -1.29020360821199, -1.63937262623419, 
## -1.17981500374447, -1.66864419123526, -1.56291772787971, -1.98251531466764, 
## -1.95593886064618, -2.44225128149598, -1.86477939744156, -1.75690378382672, 
## -2.54780422488025, -1.79868588198793, -1.83623558432291, -1.88441061089581, 
## -1.69358427576559, -1.85328560426458, -1.76221765322067, -1.56518133530493, 
## -1.6618737658522, -1.14075866336532, -1.76022231091473, -1.97385851785602, 
## -2.23903903399297, -2.08418500306765, -2.09701896683472, -2.05054204942691, 
## -2.92067831305123, -1.34029955479447, -0.862405173218095, -1.64178520364615, 
## -1.52344281721127, -1.72097048123965, -2.41941738241592, -2.11345034894864, 
## -1.75227257197787, -1.9298874594593, -1.47891857229768, -1.39568851487512, 
## -1.75491687996779, -1.39031751810405, -1.8327118988321, -1.5869030194791, 
## -1.76022231091473, -2.83368244522832, -1.8662233651353, -1.42293173005074, 
## -1.78505582052232, -1.93444737682317, -2.1702882811415, -1.82989993080951, 
## -0.632034671494683, -1.74502943136569, -1.85543287977493, -2.12568498503517, 
## -1.53774568838613, -1.47000564743879, -1.58748001667088, -1.74044194062115, 
## -1.22371054699841, -1.58459781164493, -2.02993266542511, -1.98884682155025, 
## -1.82219881722458, -2.04639487720259, -2.19960525565808, -1.3384376262469, 
## -1.8880789567987, -2.37478639259807, -1.77291338952272, -2.30331482911935, 
## -2.07908508224002, -1.52672807929299, -2.58590167978055, -1.84189375197649, 
## -1.92837100659193, -1.91180505926984, -1.61905746683644, -2.17482860723433, 
## -2.73646490874199, -1.7424059428256, -1.12423733983001, -1.41145957686351, 
## -2.69970686492617, -1.54942603766446, -1.69295456230508, -1.53222399672915, 
## -1.9436150336255, -1.53553390593274, -2.0144782295185, -0.782612903765608, 
## -2.28451216777744, -2.57748607123174, -1.65148371670111, -1.63696483726654, 
## -1.60374985078224, -2.10910714179416, -1.53940725201044, -1.87201546331183, 
## -1.69610635477286, -1.5366392784487, -1.00420884063055, -1.6429932929823, 
## -1.42243053204966, -1.65819656951131, -1.49481622664415, -1.11286403182345, 
## -2.152273992687, -1.70815718395649, -1.97229061149479, -2.92664639082147, 
## -2.99531908151406, -0.909879809896627, -1.31953065154646, -1.4314859277946, 
## -1.73456843486636, -1.83976900644465, -1.99520862275621, -1.61432667073989, 
## -1.91105703267169, -1.6798045339746, -1.76221765322067, -1.42644629234223, 
## -1.5869030194791, -1.70688312201064, -1.80900561271674, -2.23903903399297, 
## -2.22765904290076, -2.60043706228236, -1.74437304201154, -1.71326660034339, 
## -1.70116605098803, -1.72484044638468, -1.80211646688469, -1.89323214521904, 
## -1.42544102716222, -1.87492129146064, -1.57713646794481, -1.81454397349388, 
## -1.57029026747251, -1.44061358492657, -1.61079072337059, -1.76755413484372, 
## -1.50392220818424, -1.49374959569404, -1.37483653531413, -1.56291772787971, 
## -2.0389619586101, -1.61137932729061, -1.86117654460525, -1.52672807929299, 
## -1.73456843486636, -2.04391267992747, -1.33148302326385, -1.91855666953546, 
## -2.03402937550546, -1.82569355949001, -1.99680383488716, -2.24476359978009, 
## -1.80831501247306, -1.94745384990834, -1.67918184092775, -1.50392220818424, 
## -1.59152680872644, -1.33797263040563, -2.47325440842584, -1.99600599001747, 
## -2.0282974725538, -2.16215288929717, -1.67918184092775, -1.49909254054319, 
## -2.19590679148344, -1.67483182287313, -1.59152680872644, -2.10910714179416, 
## -2.32034978967903, -2.49693750413288, -1.8954469356581, -2.23808718958129, 
## -1.67111549107176, -1.85973822213232, -1.48472248992878, -2.25147166248137, 
## -2.25628265379374, -1.51147493610312, -1.88441061089581, -1.65697329692419, 
## -2.20053140083543, -1.38691285149289, -1.97621386243772, -1.94976252766682, 
## -1.43502693286363, -1.56801692100357, -2.56792473218354, -2.17664889448334, 
## -1.77157143202357, -1.57199813184547, -2.58710770259687, -2.09787887217882, 
## -0.682691445788528, -1.87710496100081, -1.8575837490523, -2.36435780471985, 
## -1.59036918522861, -1.82359556450936, -1.63997532105098, -1.33518672982535, 
## -1.76956117794169, -1.29735040698467, -1.71775470803394, -1.9276134381717, 
## -1.61965012343041, -1.66248771065756, -1.48102573092353, -1.14463853966039, 
## -1.80349130564482, -2.05386898390929, -1.5869030194791, -1.74568616603648, 
## -1.06966617277021, -1.29243198883197, -1.88221458097702, -1.9405520311955, 
## -2.34269832707947, -1.58459781164493, -2.11519149203145, -2.05386898390929, 
## -2.0373157543605, -1.89470825224657, -1.81801774160606, -2.08759559656644, 
## -1.8201065633589, -1.91555164097267, -1.49695242258118, -1.52563197108336, 
## -1.992023920279, -1.8201065633589, -2.01044073656347, -1.82779501175476, 
## -1.85686639270039, -1.46948348873484, -1.92458754139111, -1.10310698975869, 
## -1.45908956637123, -2.27276302636913, -1.7668858325529, -1.82359556450936, 
## -2.01852794126098, -1.86550117901428, -1.9668175187901, -2.30630635873273, 
## -1.9405520311955, -1.69043892539032, -1.5427374148158, -1.23254091917618, 
## -1.62202366475002, -1.98172599441121, -2.48561304016257, -1.9298874594593, 
## -1.51093383510043, -2.03238919272756, -1.53167324846093, -1.48313672307081, 
## -2.17210263331832, -2.21543355460736, -1.79458141198112, -2.00963469882313, 
## -1.61550763031094, -1.66802714570214, -1.65270148685892, -2.10304969931109, 
## -1.55615268811606, -1.51744360676264, -1.73196685431038, -1.64965934300906, 
## -1.79663198301, -1.66617787553383, -1.63036797913392, -1.78844957698328, 
## -1.81801774160606, -1.53774568838613, -2.12656307060115, -1.67297224689699, 
## -1.73587126708281, -1.95593886064618, -1.63216356146074, -1.64723109301103, 
## -1.98014876083996, -1.98964038503598, -1.96837895066273, -2, 
## -2.63863607042713, -1.84971477076266, -1.75161236742064, -1.66864419123526, 
## -1.33333333333333, -2.02340381113284, -2.19960525565808, -2.16576273636713, 
## -2.04308629539244, -1.91780476380667, -1.49748708391334, -2.2678959977632, 
## -1.72419461361929, -2.16485939411725, -2.15137939524202, -1.64541308288245, 
## -1.89175771526834, -2.130081027822, -2.23049544646902, -1.74963384269795, 
## -1.95053298754495, -1.61728124220584, -2.16938199225083, -1.87783367164741, 
## -1.54998513446837, -2.07908508224002, -2.07484971085364, -1.64783770109722, 
## -1.97307433264506, -1.86405802003958, -1.68792842242945, -2.07738934943665, 
## -2.12042821715165, -1.52071210083019, -1.98567729636041, -1.9551652341871, 
## -1.5185320931284, -2.03649340670876, -1.49962818425708, -1.77694787300249, 
## -2.73646490874199, -1.50769247373693, -1.8583015058264, -2.10910714179416, 
## -1.51907671538893, -1.63036797913392, -1.992023920279, -2.01609664451249, 
## -2.28647979689047, -1.30997016489089, -1.56065842662025, -1.70879470776142, 
## -1.6285750571483, -1.8426027846949, -1.79321620905441, -2.1702882811415, 
## -1.64359778867931, -1.9193090083481, -2.13980199800554, -1.34029955479447, 
## -1.90285696125482, -2.18670321209332, -1.61550763031094, -1.60726513354043, 
## -1.93597088022076, -1.29645450956099, -1.55953038653916, -1.9551652341871, 
## -1.74700067253984, -1.99840095936045, -1.37195739086684, -1.58632630060416, 
## -2.01771701845154, -1.53222399672915, -1.52453688425121, -2.18029662347075, 
## -1.60550620691808, -1.77762154604325, -2.14424337037824, -1.5427374148158, 
## -1.83341585914639, -1.89102112820481, -1.86261647624009, -1.85543287977493, 
## -1.95903791232448, -2.03402937550546, -1.55278458694543, -2.07654227570788, 
## -2.05303648179888, -2.10650781176591, -2.23903903399297, -2.2051713353118, 
## -2.02015126103685, -2.20889437396518, -2.35194139889245, -2.21637021355784, 
## -3.05398695719269, -1.12767371557802, -2.40652649239232, -1.9436150336255, 
## -2.24667694835586, -1.12843889570337, -1.7326167397057), .outcome = c(2L, 
## 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
## 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 
## 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
## 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 
## 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
## 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 
## 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
## 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
## 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 
## 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 
## 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 
## 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
## 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
## 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 
## 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
## 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
## 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 
## 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 
## 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
## 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
## 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
## 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
## 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
## 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
## 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
## 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 
## 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
## 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 
## 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 
## 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 
## 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 
## 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 
## 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
## 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
## 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 
## 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
## 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
## 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
## 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
## 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
## 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
## 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
## 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 
## 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
## 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L)), 
##     mfinal = 125, coeflearn = "Breiman", control = list(minsplit = 0, 
##         minbucket = 0, cp = -1, maxcompete = 4L, maxsurrogate = 5L, 
##         usesurrogate = 2L, surrogatestyle = 0L, maxdepth = 6, 
##         xval = 0))
## 
## $xNames
## [1] "texture_mean"     "smoothness_mean"  "compactness_se"   "texture_worst"   
## [5] "smoothness_worst" "symmetry_worst"  
## 
## $problemType
## [1] "Classification"
## 
## $tuneValue
##   mfinal maxdepth coeflearn
## 3    125        6   Breiman
## 
## $obsLevels
## [1] "B" "M"
## attr(,"ordered")
## [1] FALSE
## 
## $param
## list()
## 
## attr(,"vardep.summary")
##   B   M 
## 572 340 
## attr(,"class")
## [1] "boosting"
MBS_AB_Tune$results
##   coeflearn maxdepth mfinal       ROC      Sens      Spec      ROCSD     SensSD
## 1   Breiman        6     25 0.9608629 0.9499741 0.8964706 0.02161094 0.02736819
## 2   Breiman        6     75 0.9701952 0.9538368 0.8964706 0.01887355 0.02414311
## 3   Breiman        6    125 0.9730232 0.9559237 0.8923529 0.01817054 0.02493501
##       SpecSD
## 1 0.04169837
## 2 0.03970588
## 3 0.03814091
(MBS_AB_Train_ROCCurveAUC <- MBS_AB_Tune$results[MBS_AB_Tune$results$mfinal==MBS_AB_Tune$bestTune$mfinal &
                                                 MBS_AB_Tune$results$maxdepth==MBS_AB_Tune$bestTune$maxdepth &
                                                 MBS_AB_Tune$results$coeflearn==MBS_AB_Tune$bestTune$coeflearn,
                                                 c("ROC")])
## [1] 0.9730232
##################################
# Identifying and plotting the
# best model predictors
##################################
MBS_AB_VarImp <- varImp(MBS_AB_Tune, scale = TRUE)
plot(MBS_AB_VarImp,
     top=6,
     scales=list(y=list(cex = .95)),
     main="Ranked Variable Importance : Adaptive Boosting",
     xlab="Scaled Variable Importance Metrics",
     ylab="Predictors",
     cex=2,
     origin=0,
     alpha=0.45)

##################################
# Independently evaluating the model
# on the test set
##################################
MBS_AB_Test <- data.frame(MBS_AB_Test_Observed = MA_Test$diagnosis,
                          MBS_AB_Test_Predicted = predict(MBS_AB_Tune,
                                                          MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                          type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
MBS_AB_Test_ROC <- roc(response = MBS_AB_Test$MBS_AB_Test_Observed,
                       predictor = MBS_AB_Test$MBS_AB_Test_Predicted.M,
                       levels = rev(levels(MBS_AB_Test$MBS_AB_Test_Observed)))

(MBS_AB_Test_AUROC <- auc(MBS_AB_Test_ROC)[1])
## [1] 0.981556

1.5.2 Stochastic Gradient Boosting (MBS_GBM)


Details.

Code Chunk | Output

1.5.3 Extreme Gradient Boosting (MBS_XGB)


Details.

Code Chunk | Output

1.6 Model Bagging

1.6.1 Random Forest (MBG_RF)


Details.

Code Chunk | Output
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
RF_Grid = data.frame(mtry = c(25,75,125))

##################################
# Running the random forest model
# by setting the caret method to 'rf'
##################################
set.seed(12345678)
MBG_RF_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                 y = MA_Train$diagnosis,
                 method = "rf",
                 tuneGrid = RF_Grid,
                 metric = "ROC",
                 trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
MBG_RF_Tune
## Random Forest 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results across tuning parameters:
## 
##   mtry  ROC        Sens       Spec     
##    25   0.9661122  0.9527994  0.8988235
##    75   0.9658920  0.9538459  0.9000000
##   125   0.9666119  0.9524424  0.8976471
## 
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was mtry = 125.
MBG_RF_Tune$finalModel
## 
## Call:
##  randomForest(x = x, y = y, mtry = param$mtry) 
##                Type of random forest: classification
##                      Number of trees: 500
## No. of variables tried at each split: 6
## 
##         OOB estimate of  error rate: 3.51%
## Confusion matrix:
##     B   M class.error
## B 559  13  0.02272727
## M  19 321  0.05588235
MBG_RF_Tune$results
##   mtry       ROC      Sens      Spec      ROCSD     SensSD     SpecSD
## 1   25 0.9661122 0.9527994 0.8988235 0.02025444 0.02281725 0.04598186
## 2   75 0.9658920 0.9538459 0.9000000 0.02054739 0.02024918 0.04572245
## 3  125 0.9666119 0.9524424 0.8976471 0.02036131 0.02339695 0.04581695
(MBG_RF_Train_ROCCurveAUC <- MBG_RF_Tune$results[MBG_RF_Tune$results$mtry==MBG_RF_Tune$bestTune$mtry,
                                                 c("ROC")])
## [1] 0.9666119
##################################
# Identifying and plotting the
# best model predictors
##################################
MBG_RF_VarImp <- varImp(MBG_RF_Tune, scale = TRUE)
plot(MBG_RF_VarImp,
     top=6,
     scales=list(y=list(cex = .95)),
     main="Ranked Variable Importance : Random Forest",
     xlab="Scaled Variable Importance Metrics",
     ylab="Predictors",
     cex=2,
     origin=0,
     alpha=0.45)

##################################
# Independently evaluating the model
# on the test set
##################################
MBG_RF_Test <- data.frame(MBG_RF_Test_Observed = MA_Test$diagnosis,
                          MBG_RF_Test_Predicted = predict(MBG_RF_Tune,
                                                          MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                          type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
MBG_RF_Test_ROC <- roc(response = MBG_RF_Test$MBG_RF_Test_Observed,
                       predictor = MBG_RF_Test$MBG_RF_Test_Predicted.M,
                       levels = rev(levels(MBG_RF_Test$MBG_RF_Test_Observed)))

(MBG_RF_Test_AUROC <- auc(MBG_RF_Test_ROC)[1])
## [1] 0.9875922

1.6.2 Bagged Classification and Regression Trees (MBG_BTREE)


Details.

Code Chunk | Output
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
# No hyperparameter tuning process required

##################################
# Running the bagged CART model
# by setting the caret method to 'treebag'
##################################
set.seed(12345678)
MBG_BTREE_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                        y = MA_Train$diagnosis,
                        method = "treebag",
                        nbagg = 50,
                        metric = "ROC",
                        trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
MBG_BTREE_Tune
## Bagged CART 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results:
## 
##   ROC        Sens       Spec
##   0.9644432  0.9541998  0.9
MBG_BTREE_Tune$finalModel
## 
## Bagging classification trees with 50 bootstrap replications
MBG_BTREE_Tune$results
##   parameter       ROC      Sens Spec      ROCSD     SensSD     SpecSD
## 1      none 0.9644432 0.9541998  0.9 0.02096563 0.02170402 0.04452427
(MBG_BTREE_Train_ROCCurveAUC <- MBG_BTREE_Tune$results$ROC)
## [1] 0.9644432
##################################
# Identifying and plotting the
# best model predictors
##################################
MBG_BTREE_VarImp <- varImp(MBG_BTREE_Tune, scale = TRUE)
plot(MBG_BTREE_VarImp,
     top=6,
     scales=list(y=list(cex = .95)),
     main="Ranked Variable Importance : Bagged Classification and Regression Trees",
     xlab="Scaled Variable Importance Metrics",
     ylab="Predictors",
     cex=2,
     origin=0,
     alpha=0.45)

##################################
# Independently evaluating the model
# on the test set
##################################
MBG_BTREE_Test <- data.frame(MBG_BTREE_Test_Observed = MA_Test$diagnosis,
                             MBG_BTREE_Test_Predicted = predict(MBG_BTREE_Tune,
                                                                MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                                type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
MBG_BTREE_Test_ROC <- roc(response = MBG_BTREE_Test$MBG_BTREE_Test_Observed,
                          predictor = MBG_BTREE_Test$MBG_BTREE_Test_Predicted.M,
                          levels = rev(levels(MBG_BTREE_Test$MBG_BTREE_Test_Observed)))

(MBG_BTREE_Test_AUROC <- auc(MBG_BTREE_Test_ROC)[1])
## [1] 0.9858317

1.7 Model Stacking

1.7.1 Base Learner Model Development using Linear Discriminant Analysis (BAL_LDA)


Details.

Code Chunk | Output
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
# No hyperparameter tuning process required

##################################
# Running the linear discriminant analysis model
# by setting the caret method to 'lda'
##################################
set.seed(12345678)
BAL_LDA_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                        y = MA_Train$diagnosis,
                        method = "lda",
                        preProc = c("center","scale"),
                        metric = "ROC",
                        trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
BAL_LDA_Tune
## Linear Discriminant Analysis 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## Pre-processing: centered (6), scaled (6) 
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results:
## 
##   ROC        Sens       Spec     
##   0.8762815  0.8720214  0.7105882
BAL_LDA_Tune$finalModel
## Call:
## lda(x, y)
## 
## Prior probabilities of groups:
##        B        M 
## 0.627193 0.372807 
## 
## Group means:
##   texture_mean smoothness_mean compactness_se texture_worst smoothness_worst
## B   -0.3194390      -0.2990245     -0.2777306    -0.3459548       -0.3280838
## M    0.5374091       0.5030648      0.4672410     0.5820181        0.5519528
##   symmetry_worst
## B     -0.2957632
## M      0.4975782
## 
## Coefficients of linear discriminants:
##                        LD1
## texture_mean     0.4986787
## smoothness_mean  0.3218366
## compactness_se   0.2495221
## texture_worst    0.2741160
## smoothness_worst 0.2408554
## symmetry_worst   0.3784915
BAL_LDA_Tune$results
##   parameter       ROC      Sens      Spec      ROCSD     SensSD     SpecSD
## 1      none 0.8762815 0.8720214 0.7105882 0.02587517 0.02739545 0.05331432
(BAL_LDA_Train_ROCCurveAUC <- BAL_LDA_Tune$results$ROC)
## [1] 0.8762815
##################################
# Identifying and plotting the
# best model predictors
##################################
BAL_LDA_VarImp <- varImp(BAL_LDA_Tune, scale = TRUE)
plot(BAL_LDA_VarImp,
     top=6,
     scales=list(y=list(cex = .95)),
     main="Ranked Variable Importance : Linear Discriminant Analysis",
     xlab="Scaled Variable Importance Metrics",
     ylab="Predictors",
     cex=2,
     origin=0,
     alpha=0.45)

##################################
# Independently evaluating the model
# on the test set
##################################
BAL_LDA_Test <- data.frame(BAL_LDA_Test_Observed = MA_Test$diagnosis,
                           BAL_LDA_Test_Predicted = predict(BAL_LDA_Tune,
                                                            MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                            type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
BAL_LDA_Test_ROC <- roc(response = BAL_LDA_Test$BAL_LDA_Test_Observed,
                        predictor = BAL_LDA_Test$BAL_LDA_Test_Predicted.M,
                        levels = rev(levels(BAL_LDA_Test$BAL_LDA_Test_Observed)))

(BAL_LDA_Test_AUROC <- auc(BAL_LDA_Test_ROC)[1])
## [1] 0.88833

1.7.2 Base Learner Model Development using Classification and Regression Trees (BAL_CART)


Details.

Code Chunk | Output
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
CART_Grid = data.frame(cp = c(0.001, 0.005, 0.010, 0.015, 0.020))

##################################
# Running the classification and regression tree model
# by setting the caret method to 'rpart'
##################################
set.seed(12345678)
BAL_CART_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                       y = MA_Train$diagnosis,
                       method = "rpart",
                       tuneGrid = CART_Grid,
                       metric = "ROC",
                       trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
BAL_CART_Tune
## CART 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results across tuning parameters:
## 
##   cp     ROC        Sens       Spec     
##   0.001  0.8614523  0.8503158  0.7482353
##   0.005  0.8512807  0.8640061  0.7452941
##   0.010  0.8297650  0.8702944  0.7211765
##   0.015  0.8139619  0.8608299  0.7170588
##   0.020  0.8094478  0.8552677  0.7164706
## 
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was cp = 0.001.
BAL_CART_Tune$finalModel
## n= 912 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 912 340 B (0.62719298 0.37280702)  
##      2) texture_mean< 2.927988 437  67 B (0.84668192 0.15331808)  
##        4) symmetry_worst< -1.34686 398  38 B (0.90452261 0.09547739)  
##          8) smoothness_mean< -2.074653 390  33 B (0.91538462 0.08461538)  
##           16) texture_mean< 2.711046 134   0 B (1.00000000 0.00000000) *
##           17) texture_mean>=2.711046 256  33 B (0.87109375 0.12890625)  
##             34) symmetry_worst< -1.427209 247  28 B (0.88663968 0.11336032)  
##               68) smoothness_mean< -2.468758 62   0 B (1.00000000 0.00000000) *
##               69) smoothness_mean>=-2.468758 185  28 B (0.84864865 0.15135135)  
##                138) smoothness_mean>=-2.28574 59   3 B (0.94915254 0.05084746) *
##                139) smoothness_mean< -2.28574 126  25 B (0.80158730 0.19841270)  
##                  278) compactness_se< -4.691273 24   0 B (1.00000000 0.00000000) *
##                  279) compactness_se>=-4.691273 102  25 B (0.75490196 0.24509804)  
##                    558) smoothness_mean< -2.296604 94  20 B (0.78723404 0.21276596)  
##                     1116) compactness_se>=-4.479607 81  14 B (0.82716049 0.17283951)  
##                       2232) smoothness_worst< -1.472892 73  10 B (0.86301370 0.13698630)  
##                         4464) symmetry_worst>=-1.749307 28   0 B (1.00000000 0.00000000) *
##                         4465) symmetry_worst< -1.749307 45  10 B (0.77777778 0.22222222)  
##                           8930) symmetry_worst< -1.841614 34   2 B (0.94117647 0.05882353) *
##                           8931) symmetry_worst>=-1.841614 11   3 M (0.27272727 0.72727273) *
##                       2233) smoothness_worst>=-1.472892 8   4 B (0.50000000 0.50000000) *
##                     1117) compactness_se< -4.479607 13   6 B (0.53846154 0.46153846) *
##                    559) smoothness_mean>=-2.296604 8   3 M (0.37500000 0.62500000) *
##             35) symmetry_worst>=-1.427209 9   4 M (0.44444444 0.55555556) *
##          9) smoothness_mean>=-2.074653 8   3 M (0.37500000 0.62500000) *
##        5) symmetry_worst>=-1.34686 39  10 M (0.25641026 0.74358974)  
##         10) smoothness_mean< -2.32364 7   1 B (0.85714286 0.14285714) *
##         11) smoothness_mean>=-2.32364 32   4 M (0.12500000 0.87500000) *
##      3) texture_mean>=2.927988 475 202 M (0.42526316 0.57473684)  
##        6) smoothness_mean< -2.425205 140  29 B (0.79285714 0.20714286)  
##         12) symmetry_worst< -1.496954 133  23 B (0.82706767 0.17293233)  
##           24) smoothness_worst< -1.60101 85   8 B (0.90588235 0.09411765)  
##             48) texture_mean>=2.980363 64   3 B (0.95312500 0.04687500) *
##             49) texture_mean< 2.980363 21   5 B (0.76190476 0.23809524)  
##               98) symmetry_worst< -1.919875 12   0 B (1.00000000 0.00000000) *
##               99) symmetry_worst>=-1.919875 9   4 M (0.44444444 0.55555556) *
##           25) smoothness_worst>=-1.60101 48  15 B (0.68750000 0.31250000)  
##             50) texture_mean< 3.108829 21   1 B (0.95238095 0.04761905) *
##             51) texture_mean>=3.108829 27  13 M (0.48148148 0.51851852)  
##              102) texture_mean>=3.176386 20   7 B (0.65000000 0.35000000)  
##                204) compactness_se< -3.643388 13   2 B (0.84615385 0.15384615) *
##                205) compactness_se>=-3.643388 7   2 M (0.28571429 0.71428571) *
##              103) texture_mean< 3.176386 7   0 M (0.00000000 1.00000000) *
##         13) symmetry_worst>=-1.496954 7   1 M (0.14285714 0.85714286) *
##        7) smoothness_mean>=-2.425205 335  91 M (0.27164179 0.72835821)  
##         14) texture_worst< 4.411908 18   1 B (0.94444444 0.05555556) *
##         15) texture_worst>=4.411908 317  74 M (0.23343849 0.76656151)  
##           30) symmetry_worst< -1.776275 102  44 M (0.43137255 0.56862745)  
##             60) compactness_se< -3.02233 89  44 M (0.49438202 0.50561798)  
##              120) texture_worst< 4.897936 54  20 B (0.62962963 0.37037037)  
##                240) texture_worst>=4.751011 13   0 B (1.00000000 0.00000000) *
##                241) texture_worst< 4.751011 41  20 B (0.51219512 0.48780488)  
##                  482) texture_mean< 3.07522 26   9 B (0.65384615 0.34615385)  
##                    964) smoothness_mean>=-2.347868 12   1 B (0.91666667 0.08333333) *
##                    965) smoothness_mean< -2.347868 14   6 M (0.42857143 0.57142857) *
##                  483) texture_mean>=3.07522 15   4 M (0.26666667 0.73333333) *
##              121) texture_worst>=4.897936 35  10 M (0.28571429 0.71428571)  
##                242) symmetry_worst< -2.207988 9   2 B (0.77777778 0.22222222) *
##                243) symmetry_worst>=-2.207988 26   3 M (0.11538462 0.88461538) *
##             61) compactness_se>=-3.02233 13   0 M (0.00000000 1.00000000) *
##           31) symmetry_worst>=-1.776275 215  30 M (0.13953488 0.86046512)  
##             62) compactness_se< -4.040144 38  16 M (0.42105263 0.57894737)  
##              124) smoothness_mean>=-2.294648 15   2 B (0.86666667 0.13333333) *
##              125) smoothness_mean< -2.294648 23   3 M (0.13043478 0.86956522) *
##             63) compactness_se>=-4.040144 177  14 M (0.07909605 0.92090395)  
##              126) smoothness_mean< -2.32432 37   9 M (0.24324324 0.75675676) *
##              127) smoothness_mean>=-2.32432 140   5 M (0.03571429 0.96428571)  
##                254) texture_worst< 4.824228 54   5 M (0.09259259 0.90740741)  
##                  508) compactness_se< -3.447524 24   5 M (0.20833333 0.79166667)  
##                   1016) texture_worst>=4.608306 8   3 B (0.62500000 0.37500000) *
##                   1017) texture_worst< 4.608306 16   0 M (0.00000000 1.00000000) *
##                  509) compactness_se>=-3.447524 30   0 M (0.00000000 1.00000000) *
##                255) texture_worst>=4.824228 86   0 M (0.00000000 1.00000000) *
BAL_CART_Tune$results
##      cp       ROC      Sens      Spec      ROCSD     SensSD     SpecSD
## 1 0.001 0.8614523 0.8503158 0.7482353 0.03685507 0.04170440 0.06635597
## 2 0.005 0.8512807 0.8640061 0.7452941 0.03662151 0.02767361 0.05816420
## 3 0.010 0.8297650 0.8702944 0.7211765 0.04245561 0.03675966 0.07705751
## 4 0.015 0.8139619 0.8608299 0.7170588 0.04009017 0.04021240 0.07056270
## 5 0.020 0.8094478 0.8552677 0.7164706 0.04150844 0.03315895 0.06891397
(BAL_CART_Train_ROCCurveAUC <- BAL_CART_Tune$results[BAL_CART_Tune$results$cp==BAL_CART_Tune$bestTune$cp,
                                                     c("ROC")])
## [1] 0.8614523
##################################
# Identifying and plotting the
# best model predictors
##################################
BAL_CART_VarImp <- varImp(BAL_CART_Tune, scale = TRUE)
plot(BAL_CART_VarImp,
     top=6,
     scales=list(y=list(cex = .95)),
     main="Ranked Variable Importance : Classification and Regression Trees",
     xlab="Scaled Variable Importance Metrics",
     ylab="Predictors",
     cex=2,
     origin=0,
     alpha=0.45)

##################################
# Independently evaluating the model
# on the test set
##################################
BAL_CART_Test <- data.frame(BAL_CART_Test_Observed = MA_Test$diagnosis,
                            BAL_CART_Test_Predicted = predict(BAL_CART_Tune,
                                                              MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                              type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
BAL_CART_Test_ROC <- roc(response = BAL_CART_Test$BAL_CART_Test_Observed,
                         predictor = BAL_CART_Test$BAL_CART_Test_Predicted.M,
                         levels = rev(levels(BAL_CART_Test$BAL_CART_Test_Observed)))

(BAL_CART_Test_AUROC <- auc(BAL_CART_Test_ROC)[1])
## [1] 0.9210681

1.7.3 Base Learner Model Development using Support Vector Machine - Radial Basis Function Kernel (BAL_SVM_R)


Details.

Code Chunk | Output
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
# used a range of default values

##################################
# Running the support vector machine model
# by setting the caret method to 'svmRadial'
##################################
set.seed(12345678)
BAL_SVM_R_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                        y = MA_Train$diagnosis,
                        method = "svmRadial",
                        preProc = c("center", "scale"),
                        tuneLength = 14,
                        metric = "ROC",
                        trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
BAL_SVM_R_Tune
## Support Vector Machines with Radial Basis Function Kernel 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## Pre-processing: centered (6), scaled (6) 
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results across tuning parameters:
## 
##   C        ROC        Sens       Spec     
##      0.25  0.8792747  0.8964943  0.7005882
##      0.50  0.8828520  0.8964851  0.7064706
##      1.00  0.8853296  0.8961373  0.7064706
##      2.00  0.8879393  0.8958017  0.7164706
##      4.00  0.8909259  0.8937056  0.7241176
##      8.00  0.8960321  0.9003417  0.7300000
##     16.00  0.8967388  0.9052235  0.7264706
##     32.00  0.8982511  0.9059283  0.7347059
##     64.00  0.9005909  0.9135957  0.7482353
##    128.00  0.9039633  0.9233837  0.7552941
##    256.00  0.9090738  0.9374005  0.7652941
##    512.00  0.9090150  0.9412387  0.7782353
##   1024.00  0.9077637  0.9387643  0.7900000
##   2048.00  0.9097712  0.9436857  0.7976471
## 
## Tuning parameter 'sigma' was held constant at a value of 0.1790538
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were sigma = 0.1790538 and C = 2048.
BAL_SVM_R_Tune$finalModel
## Support Vector Machine object of class "ksvm" 
## 
## SV type: C-svc  (classification) 
##  parameter : cost C = 2048 
## 
## Gaussian Radial Basis kernel function. 
##  Hyperparameter : sigma =  0.179053781320727 
## 
## Number of Support Vectors : 302 
## 
## Objective Function Value : -123343.3 
## Training error : 0.013158 
## Probability model included.
BAL_SVM_R_Tune$results
##        sigma       C       ROC      Sens      Spec      ROCSD     SensSD
## 1  0.1790538    0.25 0.8792747 0.8964943 0.7005882 0.02548830 0.02322464
## 2  0.1790538    0.50 0.8828520 0.8964851 0.7064706 0.02410960 0.02143187
## 3  0.1790538    1.00 0.8853296 0.8961373 0.7064706 0.02490232 0.02237023
## 4  0.1790538    2.00 0.8879393 0.8958017 0.7164706 0.02417564 0.02120909
## 5  0.1790538    4.00 0.8909259 0.8937056 0.7241176 0.02144916 0.02499684
## 6  0.1790538    8.00 0.8960321 0.9003417 0.7300000 0.02035456 0.02715491
## 7  0.1790538   16.00 0.8967388 0.9052235 0.7264706 0.01882154 0.02634028
## 8  0.1790538   32.00 0.8982511 0.9059283 0.7347059 0.01957743 0.02468638
## 9  0.1790538   64.00 0.9005909 0.9135957 0.7482353 0.02224693 0.02746024
## 10 0.1790538  128.00 0.9039633 0.9233837 0.7552941 0.02309492 0.02966385
## 11 0.1790538  256.00 0.9090738 0.9374005 0.7652941 0.02327350 0.03080847
## 12 0.1790538  512.00 0.9090150 0.9412387 0.7782353 0.02271246 0.02797556
## 13 0.1790538 1024.00 0.9077637 0.9387643 0.7900000 0.02374909 0.03058368
## 14 0.1790538 2048.00 0.9097712 0.9436857 0.7976471 0.02420238 0.02639300
##        SpecSD
## 1  0.04800669
## 2  0.05031619
## 3  0.05085061
## 4  0.04319292
## 5  0.04864069
## 6  0.04838064
## 7  0.04727280
## 8  0.05766006
## 9  0.05474856
## 10 0.04762981
## 11 0.04793155
## 12 0.04706648
## 13 0.04083366
## 14 0.04272306
(BAL_SVM_R_Train_ROCCurveAUC <- BAL_SVM_R_Tune$results[BAL_SVM_R_Tune$results$C==BAL_SVM_R_Tune$bestTune$C,
                                                       c("ROC")])
## [1] 0.9097712
##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement

##################################
# Independently evaluating the model
# on the test set
##################################
BAL_SVM_R_Test <- data.frame(BAL_SVM_R_Test_Observed = MA_Test$diagnosis,
                             BAL_SVM_R_Test_Predicted = predict(BAL_SVM_R_Tune,
                                                                MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                                type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
BAL_SVM_R_Test_ROC <- roc(response = BAL_SVM_R_Test$BAL_SVM_R_Test_Observed,
                          predictor = BAL_SVM_R_Test$BAL_SVM_R_Test_Predicted.M,
                          levels = rev(levels(BAL_SVM_R_Test$BAL_SVM_R_Test_Observed)))

(BAL_SVM_R_Test_AUROC <- auc(BAL_SVM_R_Test_ROC)[1])
## [1] 0.9376258

1.7.4 Base Learner Model Development using K-Nearest Neighbors (BAL_KNN)


Details.

Code Chunk | Output
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
KNN_Grid = data.frame(k = 1:15)

##################################
# Running the k-nearest neighbors model
# by setting the caret method to 'knn'
##################################
set.seed(12345678)
BAL_KNN_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                      y = MA_Train$diagnosis,
                      method = "knn",
                      preProc = c("center", "scale"),
                      tuneGrid = KNN_Grid,
                      metric = "ROC",
                      trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
BAL_KNN_Tune
## k-Nearest Neighbors 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## Pre-processing: centered (6), scaled (6) 
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results across tuning parameters:
## 
##   k   ROC        Sens       Spec     
##    1  0.9076428  0.9205797  0.8947059
##    2  0.8730636  0.8202471  0.7252941
##    3  0.8824422  0.8248574  0.6982353
##    4  0.8818437  0.8643417  0.7288235
##    5  0.8815800  0.8887689  0.7488235
##    6  0.8827032  0.8716644  0.7294118
##    7  0.8848091  0.8730648  0.7211765
##    8  0.8832599  0.8825080  0.7247059
##    9  0.8826004  0.8905416  0.7305882
##   10  0.8821762  0.8839146  0.7129412
##   11  0.8817764  0.8867185  0.7164706
##   12  0.8794329  0.8870664  0.7135294
##   13  0.8785997  0.8860046  0.7123529
##   14  0.8818346  0.8821571  0.7117647
##   15  0.8846281  0.8825263  0.7135294
## 
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was k = 1.
BAL_KNN_Tune$finalModel
## 1-nearest neighbor model
## Training set outcome distribution:
## 
##   B   M 
## 572 340
BAL_KNN_Tune$results
##     k       ROC      Sens      Spec      ROCSD     SensSD     SpecSD
## 1   1 0.9076428 0.9205797 0.8947059 0.02583023 0.02881542 0.04064787
## 2   2 0.8730636 0.8202471 0.7252941 0.02876280 0.04286672 0.05229039
## 3   3 0.8824422 0.8248574 0.6982353 0.02631797 0.03848173 0.05807117
## 4   4 0.8818437 0.8643417 0.7288235 0.02394691 0.03156119 0.04651958
## 5   5 0.8815800 0.8887689 0.7488235 0.01965491 0.03178715 0.03649904
## 6   6 0.8827032 0.8716644 0.7294118 0.02080533 0.03287310 0.04411765
## 7   7 0.8848091 0.8730648 0.7211765 0.01884352 0.02994811 0.04482280
## 8   8 0.8832599 0.8825080 0.7247059 0.02014577 0.03294398 0.04127265
## 9   9 0.8826004 0.8905416 0.7305882 0.01945929 0.03067128 0.03620157
## 10 10 0.8821762 0.8839146 0.7129412 0.02010782 0.02722610 0.04767519
## 11 11 0.8817764 0.8867185 0.7164706 0.02007380 0.02682363 0.04462939
## 12 12 0.8794329 0.8870664 0.7135294 0.02001825 0.03088131 0.04331791
## 13 13 0.8785997 0.8860046 0.7123529 0.02061021 0.03027290 0.04246920
## 14 14 0.8818346 0.8821571 0.7117647 0.02038839 0.02947233 0.04432142
## 15 15 0.8846281 0.8825263 0.7135294 0.02000838 0.02791806 0.05114040
(BAL_KNN_Train_ROCCurveAUC <- BAL_KNN_Tune$results[BAL_KNN_Tune$results$k==BAL_KNN_Tune$bestTune$k,
                                                   c("ROC")])
## [1] 0.9076428
##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement

##################################
# Independently evaluating the model
# on the test set
##################################
BAL_KNN_Test <- data.frame(BAL_KNN_Test_Observed = MA_Test$diagnosis,
                           BAL_KNN_Test_Predicted = predict(BAL_KNN_Tune,
                                                            MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                            type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
BAL_KNN_Test_ROC <- roc(response = BAL_KNN_Test$BAL_KNN_Test_Observed,
                        predictor = BAL_KNN_Test$BAL_KNN_Test_Predicted.M,
                        levels = rev(levels(BAL_KNN_Test$BAL_KNN_Test_Observed)))

(BAL_KNN_Test_AUROC <- auc(BAL_KNN_Test_ROC)[1])
## [1] 0.9361167

1.7.5 Base Learner Model Development using Naive Bayes (BAL_NB)


Details.

Code Chunk | Output
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
NB_Grid = data.frame(usekernel = c(TRUE, FALSE), fL = 2, adjust = FALSE)

##################################
# Running the naive bayes model
# by setting the caret method to 'nb'
##################################
set.seed(12345678)
BAL_NB_Tune <- train(x = MA_Train[,!names(MA_Train) %in% c("diagnosis")],
                     y = MA_Train$diagnosis,
                     method = "nb",
                     tuneGrid = NB_Grid,
                     metric = "ROC",
                     trControl = RKFold_Control)

##################################
# Reporting the cross-validation results
# for the train set
##################################
BAL_NB_Tune
## Naive Bayes 
## 
## 912 samples
##   6 predictor
##   2 classes: 'B', 'M' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold, repeated 5 times) 
## Summary of sample sizes: 729, 729, 730, 730, 730, 730, ... 
## Resampling results across tuning parameters:
## 
##   usekernel  ROC        Sens       Spec     
##   FALSE      0.8873525  0.8552525  0.7605882
##    TRUE            NaN        NaN        NaN
## 
## Tuning parameter 'fL' was held constant at a value of 2
## Tuning
##  parameter 'adjust' was held constant at a value of FALSE
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were fL = 2, usekernel = FALSE and adjust
##  = FALSE.
BAL_NB_Tune$finalModel
## $apriori
## grouping
##        B        M 
## 0.627193 0.372807 
## 
## $tables
## $tables$texture_mean
##       [,1]      [,2]
## B 2.866111 0.2131833
## M 3.054338 0.1756238
## 
## $tables$smoothness_mean
##        [,1]      [,2]
## B -2.394224 0.1422449
## M -2.276397 0.1231980
## 
## $tables$compactness_se
##        [,1]      [,2]
## B -4.044941 0.6453164
## M -3.559438 0.5400556
## 
## $tables$texture_worst
##       [,1]      [,2]
## B 4.374373 0.4270218
## M 4.792405 0.3581525
## 
## $tables$smoothness_worst
##        [,1]       [,2]
## B -1.553385 0.08631008
## M -1.469949 0.08502371
## 
## $tables$symmetry_worst
##        [,1]      [,2]
## B -1.882256 0.3136605
## M -1.584759 0.3956037
## 
## 
## $levels
## [1] "B" "M"
## 
## $call
## NaiveBayes.default(x = x, grouping = y, usekernel = FALSE, fL = param$fL)
## 
## $x
##       texture_mean smoothness_mean compactness_se texture_worst
## X1        2.339881       -2.133687      -3.015119      3.845649
## X2        2.877512       -2.468168      -4.336671      4.393994
## X3        3.056357       -2.210918      -3.217377      4.558289
## X6        2.753661       -2.057289      -3.397703      4.421124
## X7        2.994732       -2.357781      -4.281638      4.712710
## X8        3.036394       -2.129472      -3.496938      4.746189
## X9        3.082827       -2.061209      -3.351836      4.919334
## X10       3.179719       -2.131999      -2.628731      5.491708
## X11       3.145875       -2.500305      -4.681080      5.114832
## X12       2.884242       -2.332014      -3.203741      4.685875
## X13       3.210844       -2.328929      -2.489276      4.867801
## X15       3.118392       -2.179483      -2.824135      5.000625
## X16       3.315639       -2.172434      -3.160607      5.301845
## X17       3.002211       -2.315974      -4.455028      4.928999
## X18       3.029167       -2.145581      -3.688480      4.967287
## X20       2.664447       -2.324933      -4.226734      4.034440
## X21       2.754297       -2.230264      -3.964369      4.146994
## X22       2.520917       -2.278869      -4.246098      3.668189
## X23       2.657458       -2.232127      -2.932194      4.017490
## X25       3.062456       -2.188364      -3.972835      4.972347
## X26       2.797281       -2.131999      -3.270432      4.226835
## X27       3.069447       -2.249993      -3.488391      5.074506
## X28       3.008155       -2.360214      -3.603803      4.684455
## X30       2.711378       -2.318003      -3.495618      4.058702
## X32       2.928524       -2.199126      -3.377286      4.744803
## X35       2.883683       -2.263364      -3.551555      4.684455
## X38       2.913437       -2.409836      -5.318724      4.345339
## X39       3.226844       -2.365844      -4.515329      4.533450
## X40       3.035914       -2.286712      -3.799141      4.594701
## X42       3.061052       -2.098013      -4.037586      5.200544
## X43       3.211247       -2.398986      -2.296603      5.072078
## X45       3.082369       -2.331602      -4.280192      4.864503
## X46       2.867899       -2.208184      -3.220377      4.219926
## X47       2.823757       -2.453408      -4.106822      4.274627
## X48       2.926382       -2.155891      -3.756730      4.732992
## X49       2.683074       -2.272056      -4.249596      4.165667
## X52       2.793616       -2.565900      -4.442201      4.376271
## X53       2.903617       -2.493625      -4.781907      4.220791
## X54       2.928524       -2.164564      -3.519643      4.451081
## X55       3.091951       -2.401743      -4.575611      4.980549
## X56       2.931194       -2.351355      -4.741907      4.317312
## X57       2.921547       -2.250942      -3.769656      4.746189
## X58       3.072230       -2.174192      -3.556098      4.917397
## X59       2.960623       -2.518257      -4.756807      4.298995
## X61       2.700018       -2.176834      -4.510770      3.857866
## X62       3.043570       -2.085057      -3.453965      4.668773
## X64       2.629007       -2.561226      -3.234497      4.031624
## X65       3.171365       -2.187472      -3.631366      5.090232
## X67       3.044999       -2.259526      -4.042701      4.972347
## X68       2.946542       -2.508503      -4.686814      4.428254
## X69       2.852439       -2.238672      -2.452711      4.332192
## X71       3.059176       -2.406946      -4.103184      4.635650
## X73       3.199489       -2.233992      -2.879551      5.111247
## X74       2.759377       -2.295609      -3.880040      4.179793
## X75       2.804572       -2.389015      -4.006883      4.377888
## X78       2.781920       -2.239610      -2.840611      4.001364
## X79       3.176803       -2.051048      -2.683114      4.982438
## X80       2.890372       -2.309207      -4.097750      4.504524
## X81       3.043093       -2.205458      -4.071019      5.009980
## X82       2.763800       -2.227478      -3.331205      4.376271
## X83       3.215269       -2.241490      -2.865933      5.099260
## X84       3.269189       -2.107841      -2.805112      5.044600
## X85       2.750471       -2.330676      -4.010739      4.510643
## X86       2.918851       -2.315265      -4.105001      4.714115
## X87       3.066191       -2.359791      -3.512241      4.821893
## X88       3.202340       -2.404729      -3.994318      4.898589
## X89       3.081910       -2.433605      -3.691683      4.904441
## X90       2.723924       -2.178599      -3.120842      3.936655
## X91       3.178887       -2.410839      -4.007433      4.812472
## X92       3.125005       -2.385967      -3.711534      4.581390
## X93       2.691921       -2.609790      -4.567874      4.307339
## X94       2.906901       -2.280824      -4.205723      4.588794
## X95       2.987196       -2.264326      -3.292792      4.458901
## X96       3.136798       -2.399316      -3.357563      4.974243
## X97       2.881443       -2.258568      -4.440504      4.185067
## X99       2.552565       -2.409836      -4.319991      3.828226
## X100      2.984166       -2.327698      -3.542185      4.927712
## X102      2.597491       -2.145581      -4.524512      4.060557
## X103      3.021400       -2.524105      -5.099794      5.051957
## X104      2.965273       -2.297598      -3.818533      4.653708
## X105      2.959587       -2.303686      -3.808114      4.385955
## X106      2.744704       -1.967542      -3.536330      4.311499
## X108      2.919931       -2.467814      -4.559241      4.700742
## X109      2.979095       -2.020418      -2.445532      4.737167
## X110      3.056827       -2.435088      -4.162409      4.815168
## X111      2.832625       -2.266253      -3.529485      4.232863
## X112      3.033028       -2.309308      -3.208431      4.553792
## X113      2.978077       -2.546314      -2.597493      4.419537
## X114      3.005187       -2.187472      -3.284215      4.340417
## X115      2.761907       -2.162823      -3.810821      4.067964
## X116      3.069447       -2.326058      -3.686083      4.604270
## X117      2.757475       -2.357886      -2.694147      3.818947
## X118      2.813611       -2.152442      -3.663992      4.692258
## X119      3.131573       -2.158485      -3.224894      4.904441
## X120      2.996232       -2.476700      -4.776908      4.724620
## X121      2.381396       -2.367337      -4.180556      3.702239
## X123      3.005683       -1.933093      -2.322176      4.440088
## X125      2.796671       -2.642965      -3.420380      4.340417
## X126      2.845491       -2.432124      -4.691927      4.407598
## X127      3.206398       -2.379682      -4.444753      5.217803
## X128      2.939691       -2.498965      -3.600502      4.573218
## X129      2.796671       -2.162823      -3.173663      3.945456
## X130      3.223664       -2.287696      -3.448604      5.096856
## X131      2.587012       -2.238672      -3.706636      3.894116
## X132      2.969388       -2.214574      -4.210429      4.593226
## X133      3.069912       -2.294617      -3.936316      4.979920
## X134      2.634045       -2.357886      -4.189755      4.033502
## X135      3.086943       -2.361274      -4.253106      4.961581
## X137      2.813611       -2.252843      -4.283087      4.554542
## X138      2.733718       -2.339353      -4.185802      4.279690
## X139      2.866193       -2.148149      -3.358138      4.229421
## X140      2.594508       -2.150723      -3.352979      3.680332
## X141      2.482404       -2.380547      -5.175038      3.488165
## X142      2.893146       -2.330882      -3.943514      4.538741
## X144      2.767576       -2.444494      -4.158563      4.262772
## X146      2.684440       -2.161086      -3.048922      3.760309
## X147      2.808197       -2.215490      -3.315111      4.621105
## X148      2.932260       -2.508626      -3.020640      4.553792
## X149      2.719979       -2.305590      -3.773566      4.089126
## X150      2.885359       -2.532753      -4.140179      4.316482
## X152      3.030134       -2.363929      -2.915813      4.853256
## X154      2.571084       -2.327493      -4.712199      3.737909
## X155      2.730464       -2.366164      -3.903559      4.147887
## X156      2.887033       -2.447149      -4.159203      4.534963
## X158      2.968361       -2.597628      -3.626468      4.741335
## X159      2.544747       -2.373974      -4.626496      3.953251
## X160      2.561868       -2.588269      -5.093908      3.932732
## X161      3.004692       -2.217325      -3.727620      4.608673
## X162      2.768832       -2.442537      -3.488391      3.894116
## X163      2.898671       -2.189256      -3.782311      4.621834
## X164      3.100993       -2.290657      -3.449863      4.783310
## X165      3.092859       -2.472306      -3.671433      4.751724
## X166      2.983660       -2.474442      -4.830441      4.579906
## X168      2.933857       -2.423059      -3.700952      4.615263
## X169      3.205993       -2.254748      -3.314836      5.020540
## X171      2.516890       -2.274970      -4.439656      3.665973
## X172      2.977059       -2.402626      -4.544075      4.863182
## X175      2.718001       -2.431328      -4.588313      4.028805
## X176      2.670694       -2.392729      -4.827439      3.815845
## X177      2.893700       -2.333147      -2.429510      4.471360
## X178      3.001217       -2.319630      -3.195648      4.767568
## X179      3.100993       -2.772429      -6.095937      4.806397
## X180      2.569554       -2.437374      -5.057098      3.721768
## X182      3.279783       -2.170680      -3.045133      5.090835
## X183      3.011113       -2.343720      -3.788479      5.050733
## X184      2.702703       -2.401411      -3.289298      3.883102
## X187      2.922086       -2.454804      -4.690619      4.619646
## X188      2.844328       -2.325444      -4.743973      4.225973
## X189      2.855895       -2.295609      -4.735735      4.628388
## X190      2.766319       -2.515778      -3.811273      4.065190
## X191      3.140698       -2.230264      -1.999522      5.304618
## X192      3.063858       -2.436231      -4.022955      4.401206
## X193      2.902520       -2.666429      -5.000289      4.177151
## X194      3.290638       -2.269150      -3.258397      5.421659
## X196      2.793004       -2.533131      -4.143325      4.278004
## X197      3.104138       -2.120264      -3.396807      5.122583
## X198      3.083743       -2.607617      -2.938218      4.495315
## X200      3.006672       -2.315468      -4.137043      4.879637
## X201      2.973487       -2.344866      -4.029119      4.761381
## X202      2.961141       -2.411508      -3.661653      4.581390
## X203      3.283539       -2.170680      -2.971820      5.042143
## X204      3.167583       -2.022683      -3.471191      5.551376
## X205      2.923162       -2.306091      -3.957544      4.490698
## X206      2.814210       -2.421819      -3.953366      4.124564
## X207      2.848971       -2.217325      -4.382827      4.378696
## X208      3.008648       -2.433605      -4.197707      4.522074
## X209      3.115292       -2.300587      -3.492984      4.815841
## X210      2.558002       -2.503234      -4.393290      3.696783
## X211      3.097386       -2.397995      -3.321185      4.725319
## X212      2.941276       -2.422383      -4.058784      4.517508
## X214      3.241029       -2.296603      -2.458654      4.741335
## X216      2.829087       -2.276917      -3.370280      4.660893
## X217      2.909630       -2.368404      -3.171992      4.673060
## X218      2.861057       -2.519001      -3.467337      4.477566
## X220      3.480317       -2.474560      -3.632877      5.725074
## X222      2.631889       -2.252843      -3.766193      3.825137
## X223      2.863914       -2.243373      -4.268698      4.347796
## X224      3.008155       -2.277892      -3.740594      4.890764
## X225      2.834389       -2.471596      -4.506230      4.409194
## X226      2.600465       -2.312030      -4.248895      3.801311
## X228      2.741485       -2.480397      -3.439834      4.039126
## X229      3.176803       -2.537928      -3.774873      4.956498
## X230      3.105931       -2.218244      -3.255021      4.881604
## X232      3.298795       -2.676116      -4.106215      5.107058
## X233      3.520757       -2.553614      -4.988923      5.547844
## X234      3.325396       -2.390433      -3.881494      5.315680
## X235      2.766948       -2.469348      -4.565949      4.025039
## X236      3.056357       -2.400198      -4.280915      4.890111
## X239      3.326833       -2.498235      -3.559607      5.484477
## X240      3.670715       -2.321564      -3.580922      5.699444
## X241      2.747271       -2.362017      -4.383628      4.014653
## X242      2.710713       -2.535022      -5.312416      4.136255
## X243      2.900872       -2.344241      -2.827848      4.733688
## X244      3.168424       -2.520368      -3.624216      4.618186
## X245      3.157000       -2.275943      -3.425900      4.906389
## X246      2.988708       -2.234926      -4.278748      4.835955
## X248      2.646884       -2.434974      -2.883833      3.883102
## X249      3.227637       -2.337487      -4.570769      5.191870
## X250      2.703373       -2.289669      -4.399783      4.208655
## X251      3.159550       -2.295609      -3.242144      4.665910
## X253      2.986692       -2.242431      -2.984397      4.562778
## X254      2.837908       -2.294617      -4.197707      4.525113
## X255      2.961658       -2.268184      -4.017384      4.485299
## X256      2.836150       -2.210918      -3.619727      4.283900
## X257      3.359333       -2.379466      -3.043873      5.253674
## X258      2.848971       -2.013654      -3.081726      4.333015
## X259      3.144152       -2.199126      -2.814244      4.977398
## X263      3.096934       -2.408057      -2.816582      4.683033
## X264      2.964242       -2.545931      -4.698932      4.979289
## X266      3.437851       -2.357147      -4.214480      5.806493
## X267      2.941804       -2.334282      -3.329528      4.355967
## X268      3.083743       -2.531244      -3.727205      4.874383
## X269      2.785628       -2.361804      -3.826763      4.412381
## X270      3.015045       -2.223774      -3.039684      4.534207
## X272      2.568022       -2.319324      -4.490057      3.725005
## X273      3.044046       -2.364354      -3.003764      4.748958
## X274      2.751748       -2.403843      -4.540319      4.181552
## X275      3.197856       -2.424188      -4.449022      5.162741
## X276      2.854169       -2.099644      -4.207065      4.008967
## X277      2.650421       -2.366697      -4.710753      4.008967
## X278      2.994732       -2.416538      -4.497213      4.464360
## X279      2.881443       -2.532250      -5.244966      4.600594
## X281      3.280911       -2.282782      -3.709490      5.232668
## X282      2.640485       -2.549381      -4.239139      3.938613
## X283      2.900322       -2.266253      -3.817167      4.781263
## X284      2.932260       -2.238672      -3.357851      4.525113
## X285      2.753661       -2.548741      -3.228674      4.074426
## X286      2.912351       -2.477772      -4.827314      4.367359
## X287      3.033028       -2.452827      -2.965009      4.686585
## X288      2.574138       -2.665709      -4.308776      3.654863
## X289      2.993730       -2.523232      -2.493503      4.305672
## X290      2.938633       -2.440354      -4.272276      4.603535
## X291      2.982140       -2.435317      -2.240550      4.288943
## X292      2.949688       -2.408835      -3.856115      4.607206
## X293      2.773838       -2.297598      -3.910524      4.096440
## X294      2.859913       -2.480277      -4.199705      4.574706
## X295      2.623218       -2.336452      -4.439656      3.860909
## X296      2.585506       -2.386184      -4.809369      3.804433
## X297      2.513656       -2.462989      -4.405500      3.573135
## X298      2.898119       -2.305790      -4.600183      4.392389
## X299      2.899772       -2.721744      -4.285263      4.537986
## X300      3.139400       -2.287696      -4.238446      4.458120
## X301      2.939162       -2.162823      -3.441082      4.610871
## X302      2.990217       -2.470885      -3.390554      4.366547
## X303      3.172203       -2.225624      -3.050822      4.833951
## X304      2.923699       -2.236797      -4.671096      4.482982
## X306      3.198265       -2.593740      -3.756302      4.976136
## X307      2.761275       -2.463811      -4.845841      4.143420
## X308      2.667228       -2.658546      -5.321995      4.109184
## X309      2.542389       -2.606939      -5.587067      3.805473
## X310      2.627563       -2.482669      -5.357855      3.852784
## X312      2.753024       -2.574656      -5.112502      4.256821
## X313      2.593013       -2.431101      -3.587045      3.748604
## X314      2.372111       -2.453757      -4.312501      3.334618
## X316      2.824351       -2.463811      -5.805151      4.076268
## X318      2.937573       -2.328313      -4.098955      4.518270
## X319      2.939162       -2.305790      -2.719617      4.393191
## X320      2.833213       -2.582696      -4.529135      4.121857
## X321      2.783776       -2.243373      -3.154728      4.157683
## X322      2.978586       -2.523232      -4.285989      4.363297
## X323      2.589267       -2.176834      -3.904055      4.199074
## X324      3.068518       -2.145581      -3.716867      4.991235
## X325      2.721953       -2.444955      -4.255923      4.225110
## X326      2.850707       -2.274970      -4.654991      4.200819
## X329      3.030617       -2.146436      -3.871361      4.896635
## X331      2.741485       -2.354826      -3.428055      4.276316
## X332      2.962692       -2.345597      -3.424978      4.273783
## X333      2.988708       -2.249993      -4.506230      4.576936
## X335      2.945491       -2.487350      -4.775721      4.768255
## X336      3.044522       -2.190150      -4.019052      5.070864
## X337      2.655352       -2.357886      -3.770090      3.802352
## X339      2.863914       -2.295609      -4.234297      4.654427
## X340      3.189241       -2.235861      -3.926629      4.919334
## X341      2.805782       -2.327800      -3.489045      4.236301
## X342      2.823757       -2.467342      -3.360727      4.366547
## X343      2.705380       -2.270118      -3.975495      4.093700
## X344      3.076390       -2.323094      -3.390851      5.160983
## X345      2.737609       -2.162823      -4.512591      3.928802
## X346      2.688528       -2.314455      -3.063797      4.054986
## X347      2.939162       -2.478607      -4.513503      4.670202
## X348      2.690565       -2.421932      -4.195713      3.906069
## X349      2.774462       -2.399537      -4.762058      4.173623
## X350      2.705380       -2.155891      -3.722643      3.885109
## X351      2.837323       -2.582167      -4.963132      4.079030
## X352      2.955951       -2.085057      -2.724332      4.454212
## X353      2.859913       -2.163693      -3.159900      4.407598
## X354      3.248046       -2.278869      -3.716867      5.075113
## X355      2.644045       -2.620864      -3.385226      3.685830
## X358      2.785628       -2.436917      -4.835968      4.562030
## X359      2.740195       -2.489758      -3.540804      3.883102
## X360      2.907993       -2.293625      -4.712533      4.519792
## X361      2.894253       -2.598837      -5.361683      4.190330
## X362      3.071303       -2.455503      -3.889772      4.818532
## X363      2.935982       -2.335522      -4.106822      4.592488
## X365      2.830268       -2.533635      -4.382027      4.252561
## X366      3.080992       -2.391416      -3.960163      4.620376
## X367      3.289521       -2.312131      -3.063155      5.110649
## X369      2.847812       -2.366164      -4.499010      4.625478
## X370      3.086487       -2.241490      -3.568079      4.578422
## X371      3.148024       -2.328724      -3.239844      4.938626
## X372      2.580974       -2.530364      -4.209755      3.675924
## X374      2.853593       -2.359579      -3.965951      4.374653
## X375      2.776954       -2.488674      -4.143325      4.121857
## X376      2.776954       -2.314658      -4.010739      4.023154
## X377      3.006672       -2.399867      -2.571380      4.346158
## X378      3.339677       -2.588003      -4.420352      5.217230
## X379      2.718001       -2.492778      -3.511906      4.069812
## X380      2.935451       -2.107018      -3.090263      5.050733
## X381      2.561868       -2.089896      -4.030244      4.150563
## X382      2.703373       -2.527355      -3.961739      4.177151
## X383      3.123246       -2.668589      -3.087848      4.785356
## X384      2.861057       -2.261443      -3.295487      4.371414
## X385      2.618855       -2.481353      -3.876173      3.849729
## X386      3.148024       -2.443918      -4.050136      4.981809
## X387      2.645465       -2.512319      -3.497929      4.037253
## X390      3.144583       -2.292635      -3.194915      4.900541
## X392      2.823757       -2.264326      -3.929169      4.344519
## X394      3.103689       -2.148149      -3.289835      4.787400
## X395      2.874694       -2.273998      -4.115977      4.578422
## X398      2.859913       -2.520244      -3.359000      4.197328
## X399      2.696652       -2.558639      -4.220588      4.134460
## X400      2.848392       -2.398325      -3.930187      4.479114
## X401      3.045474       -2.095571      -3.291984      4.721123
## X402      2.389680       -2.422270      -4.419521      4.115529
## X403      2.906354       -2.610334      -3.293330      4.488386
## X405      2.704711       -2.443918      -4.768748      3.796097
## X406      2.922624       -2.298593      -3.847172      4.562030
## X407      2.698673       -2.354405      -4.385232      4.064264
## X408      3.061988       -2.583490      -3.105547      4.666626
## X409      3.028199       -2.267218      -3.585601      4.549287
## X410      2.885917       -2.443573      -3.767923      4.796917
## X411      2.866193       -2.423849      -4.610484      5.256500
## X412      2.823163       -2.228406      -4.671844      4.625478
## X413      3.076390       -2.529611      -3.621595      4.735776
## X414      3.096030       -2.463341      -3.572698      4.971715
## X415      3.394844       -2.486508      -4.249596      5.289608
## X416      3.052585       -2.325547      -3.489045      4.680900
## X417      3.077312       -2.259526      -4.089954      4.952042
## X418      3.048325       -2.189256      -3.247018      4.712008
## X419      2.498974       -2.432124      -4.371680      3.803393
## X421      2.946542       -2.459707      -3.888795      4.664478
## X423      2.773838       -2.218244      -3.909526      4.072581
## X424      2.951258       -2.401632      -3.572342      4.556042
## X425      2.950735       -2.230264      -3.971242      4.374653
## X426      3.057768       -2.511210      -5.167816      4.800985
## X428      3.090133       -2.430305      -3.840633      5.002499
## X431      3.114848       -2.307899      -2.778526      4.706382
## X432      2.872434       -2.249993      -3.412764      4.353519
## X433      2.972464       -2.177716      -3.606378      4.523594
## X434      3.089678       -2.284745      -3.197114      4.932212
## X436      2.976549       -2.244316      -4.022396      4.923849
## X437      2.972464       -2.392948      -4.296216      4.470584
## X438      2.771338       -2.470057      -4.346659      4.242305
## X439      2.975530       -2.443688      -4.514416      4.737167
## X440      2.751110       -2.529988      -4.684430      4.039126
## X441      2.844909       -2.417435      -3.070887      4.656584
## X443      2.759377       -2.428489      -4.460204      3.862936
## X444      2.907993       -2.508134      -4.319240      4.385955
## X445      2.824351       -2.413852      -4.160484      4.279690
## X446      3.214466       -2.273026      -3.899600      4.895332
## X447      3.333275       -2.302885      -3.904551      5.378924
## X448      2.871302       -2.388252      -4.447312      4.339596
## X449      2.962175       -2.478368      -3.888306      4.763445
## X450      3.021400       -2.334695      -3.875209      5.004371
## X451      3.069912       -2.716133      -2.802965      4.748958
## X452      3.218876       -2.271086      -3.948168      4.934138
## X453      3.340385       -2.472543      -3.653898      5.343130
## X455      2.841998       -2.455387      -4.763111      4.290621
## X456      3.424914       -2.381087      -4.385232      5.539246
## X457      3.377246       -2.369045      -3.722229      5.393426
## X459      3.224062       -2.480636      -4.713424      4.992489
## X460      3.339322       -2.527731      -4.366153      5.290165
## X461      3.301377       -2.312837      -3.808114      5.150996
## X462      3.268428       -2.221927      -2.923598      4.960311
## X464      2.910174       -2.464163      -4.073954      4.442448
## X465      2.902520       -2.594811      -4.204383      4.432205
## X466      3.002211       -2.490844      -2.709501      4.556042
## X467      3.032064       -2.444725      -3.448604      4.553042
## X468      2.895912       -2.487590      -4.376442      4.489157
## X469      3.149740       -2.376339      -2.655695      4.796239
## X471      2.917230       -2.413964      -3.917538      4.565019
## X472      3.337192       -2.435888      -4.163695      5.081777
## X473      2.703373       -2.513553      -4.034191      3.934694
## X475      2.748552       -2.295609      -3.476029      4.042868
## X476      2.755570       -2.403511      -4.019608      4.042868
## X477      3.021887       -2.415642      -3.414891      4.684455
## X480      2.970927       -2.276917      -2.905892      4.364923
## X481      2.892037       -2.398325      -4.094745      4.727414
## X482      2.956991       -2.526854      -4.526359      4.624021
## X483      2.643334       -2.233992      -4.232228      3.944480
## X485      2.423031       -2.260484      -4.006334      3.500171
## X487      2.824351       -2.448652      -4.273710      4.551541
## X488      2.934920       -2.217325      -3.563834      4.897287
## X493      3.023347       -2.301586      -3.611918      4.597650
## X494      2.551786       -2.607481      -4.602175      3.744333
## X495      3.022374       -2.612513      -3.886355      4.768255
## X496      3.006178       -2.344762      -4.289630      4.769627
## X497      2.899772       -2.229335      -3.688080      4.290621
## X498      2.851284       -2.415978      -4.289630      4.467474
## X500      3.055886       -2.221005      -3.578770      4.921270
## X502      3.198265       -2.152442      -3.255540      5.058072
## X504      2.987196       -2.370650      -3.394420      4.430625
## X505      2.554899       -1.811554      -3.091803      3.746469
## X506      2.575661       -2.075450      -3.018387      3.916970
## X508      2.840247       -2.125276      -3.751606      4.169207
## X510      3.175968       -2.134532      -3.007805      5.257064
## X511      2.687167       -2.513430      -3.240099      3.873042
## X512      2.687847       -2.468404      -4.425352      3.871024
## X513      3.021400       -2.201835      -3.787595      4.849274
## X515      2.948116       -2.384338      -4.116590      4.740641
## X516      2.923699       -2.254748      -4.109864      4.363297
## X517      3.024320       -2.236797      -3.975495      4.607940
## X519      2.902520       -2.105375      -3.759731      4.469807
## X520      2.815409       -2.184802      -4.159844      4.255969
## X521      2.631889       -1.987045      -3.673006      3.897110
## X522      3.072693       -2.273026      -3.438276      4.660893
## X524      2.927453       -2.311021      -3.793796      4.565765
## X525      2.752386       -2.354721      -3.891240      4.360042
## X526      2.572612       -2.267218      -4.038721      3.957138
## X527      2.931194       -2.230264      -4.238446      4.530422
## X528      2.507157       -2.407612      -4.691927      4.035378
## X529      2.577942       -2.081043      -3.427439      3.636967
## X530      2.598235       -2.207275      -4.462803      3.680332
## X531      2.865624       -2.232127      -4.009085      4.735080
## X532      2.996732       -2.286712      -4.058784      4.792163
## X533      2.793004       -2.377632      -4.929793      4.120954
## X537      3.115735       -2.265289      -3.656219      5.138013
## X538      3.196221       -2.090705      -3.353837      5.011847
## X539      3.238286       -2.513553      -4.636454      4.931570
## X540      3.236323       -2.445532      -2.740005      4.993116
## X541      2.670002       -2.304186      -3.191261      4.073504
## X543      3.235536       -2.491931      -4.446458      5.018060
## X544      3.334345       -2.445186      -4.288901      5.304063
## X546      3.145445       -2.380979      -3.863709      4.811124
## X547      2.794228       -2.360850      -4.927168      4.258523
## X548      2.808197       -2.421707      -3.478943      4.281375
## X551      3.067122       -2.599510      -4.506230      4.500691
## X552      3.110845       -2.346955      -3.489701      4.754487
## X553      3.382015       -2.491810      -4.395720      5.238363
## X554      3.088311       -2.381628      -3.998671      4.522074
## X555      3.364533       -2.510471      -3.838308      5.223531
## X556      3.318178       -2.404618      -3.598673      5.175599
## X557      2.975019       -2.299590      -3.806762      4.351068
## X558      3.327910       -2.510471      -4.488276      5.136237
## X559      3.121483       -2.468286      -3.070671      4.685165
## X560      3.175133       -2.379358      -3.512576      5.303509
## X562      3.379974       -2.597090      -4.724179      5.365966
## X564      3.222469       -2.208184      -3.144232      4.832614
## X565      3.108614       -2.198225      -3.543568      4.622564
## X567      3.335058       -2.470412      -3.288494      5.129122
## X568      3.378611       -2.138767      -2.787418      5.425895
## X570      2.339881       -2.133687      -3.015119      3.845649
## X571      2.877512       -2.468168      -4.336671      4.393994
## X572      3.056357       -2.210918      -3.217377      4.558289
## X573      3.014554       -1.948413      -2.595883      4.629842
## X575      2.753661       -2.057289      -3.397703      4.421124
## X576      2.994732       -2.357781      -4.281638      4.712710
## X577      3.036394       -2.129472      -3.496938      4.746189
## X578      3.082827       -2.061209      -3.351836      4.919334
## X579      3.179719       -2.131999      -2.628731      5.491708
## X580      3.145875       -2.500305      -4.681080      5.114832
## X583      3.175968       -2.476819      -3.465416      4.712710
## X584      3.118392       -2.179483      -2.824135      5.000625
## X585      3.315639       -2.172434      -3.160607      5.301845
## X586      3.002211       -2.315974      -4.455028      4.928999
## X587      3.029167       -2.145581      -3.688480      4.967287
## X588      3.097837       -2.319630      -3.967007      4.928999
## X589      2.664447       -2.324933      -4.226734      4.034440
## X590      2.754297       -2.230264      -3.964369      4.146994
## X591      2.520917       -2.278869      -4.246098      3.668189
## X592      2.657458       -2.232127      -2.932194      4.017490
## X593      3.137232       -2.361486      -4.374852      5.214935
## X595      2.797281       -2.131999      -3.270432      4.226835
## X601      2.928524       -2.199126      -3.377286      4.744803
## X602      3.177220       -2.122767      -3.479591      5.005619
## X603      3.276012       -2.364354      -3.405808      4.930285
## X604      2.883683       -2.263364      -3.551555      4.684455
## X605      3.072230       -2.342366      -3.689280      4.806397
## X606      3.078233       -2.320444      -3.508226      4.895332
## X607      2.913437       -2.409836      -5.318724      4.345339
## X608      3.226844       -2.365844      -4.515329      4.533450
## X609      3.035914       -2.286712      -3.799141      4.594701
## X610      3.071767       -2.505681      -4.508043      4.888151
## X611      3.061052       -2.098013      -4.037586      5.200544
## X613      3.009635       -2.262403      -3.841099      4.736472
## X614      3.082369       -2.331602      -4.280192      4.864503
## X615      2.867899       -2.208184      -3.220377      4.219926
## X618      2.683074       -2.272056      -4.249596      4.165667
## X619      3.104587       -2.435888      -4.281638      4.988725
## X620      3.072693       -2.449115      -4.629668      4.572474
## X621      2.793616       -2.565900      -4.442201      4.376271
## X622      2.903617       -2.493625      -4.781907      4.220791
## X623      2.928524       -2.164564      -3.519643      4.451081
## X624      3.091951       -2.401743      -4.575611      4.980549
## X625      2.931194       -2.351355      -4.741907      4.317312
## X627      3.072230       -2.174192      -3.556098      4.917397
## X628      2.960623       -2.518257      -4.756807      4.298995
## X629      2.467252       -2.327698      -4.551629      3.639212
## X630      2.700018       -2.176834      -4.510770      3.857866
## X631      3.043570       -2.085057      -3.453965      4.668773
## X632      3.097837       -2.254748      -2.651292      4.839292
## X633      2.629007       -2.561226      -3.234497      4.031624
## X635      3.175551       -2.143873      -3.767923      5.085404
## X636      3.044999       -2.259526      -4.042701      4.972347
## X637      2.946542       -2.508503      -4.686814      4.428254
## X638      2.852439       -2.238672      -2.452711      4.332192
## X640      3.059176       -2.406946      -4.103184      4.635650
## X642      3.199489       -2.233992      -2.879551      5.111247
## X643      2.759377       -2.295609      -3.880040      4.179793
## X644      2.804572       -2.389015      -4.006883      4.377888
## X645      2.978077       -2.389451      -3.815350      4.484527
## X646      2.392426       -2.047168      -3.561718      3.284809
## X647      2.781920       -2.239610      -2.840611      4.001364
## X648      3.176803       -2.051048      -2.683114      4.982438
## X649      2.890372       -2.309207      -4.097750      4.504524
## X651      2.763800       -2.227478      -3.331205      4.376271
## X652      3.215269       -2.241490      -2.865933      5.099260
## X653      3.269189       -2.107841      -2.805112      5.044600
## X654      2.750471       -2.330676      -4.010739      4.510643
## X655      2.918851       -2.315265      -4.105001      4.714115
## X656      3.066191       -2.359791      -3.512241      4.821893
## X657      3.202340       -2.404729      -3.994318      4.898589
## X658      3.081910       -2.433605      -3.691683      4.904441
## X659      2.723924       -2.178599      -3.120842      3.936655
## X660      3.178887       -2.410839      -4.007433      4.812472
## X661      3.125005       -2.385967      -3.711534      4.581390
## X662      2.691921       -2.609790      -4.567874      4.307339
## X663      2.906901       -2.280824      -4.205723      4.588794
## X664      2.987196       -2.264326      -3.292792      4.458901
## X667      2.992728       -2.278869      -4.224681      4.614531
## X668      2.552565       -2.409836      -4.319991      3.828226
## X669      2.984166       -2.327698      -3.542185      4.927712
## X670      3.218076       -2.355142      -4.207737      5.196499
## X671      2.597491       -2.145581      -4.524512      4.060557
## X672      3.021400       -2.524105      -5.099794      5.051957
## X674      2.959587       -2.303686      -3.808114      4.385955
## X675      2.744704       -1.967542      -3.536330      4.311499
## X677      2.919931       -2.467814      -4.559241      4.700742
## X678      2.979095       -2.020418      -2.445532      4.737167
## X679      3.056827       -2.435088      -4.162409      4.815168
## X680      2.832625       -2.266253      -3.529485      4.232863
## X681      3.033028       -2.309308      -3.208431      4.553792
## X682      2.978077       -2.546314      -2.597493      4.419537
## X683      3.005187       -2.187472      -3.284215      4.340417
## X685      3.069447       -2.326058      -3.686083      4.604270
## X686      2.757475       -2.357886      -2.694147      3.818947
## X687      2.813611       -2.152442      -3.663992      4.692258
## X689      2.996232       -2.476700      -4.776908      4.724620
## X690      2.381396       -2.367337      -4.180556      3.702239
## X692      3.005683       -1.933093      -2.322176      4.440088
## X693      2.387845       -2.206366      -4.361440      3.703328
## X694      2.796671       -2.642965      -3.420380      4.340417
## X695      2.845491       -2.432124      -4.691927      4.407598
## X697      2.939691       -2.498965      -3.600502      4.573218
## X698      2.796671       -2.162823      -3.173663      3.945456
## X699      3.223664       -2.287696      -3.448604      5.096856
## X700      2.587012       -2.238672      -3.706636      3.894116
## X701      2.969388       -2.214574      -4.210429      4.593226
## X702      3.069912       -2.294617      -3.936316      4.979920
## X703      2.634045       -2.357886      -4.189755      4.033502
## X704      3.086943       -2.361274      -4.253106      4.961581
## X705      3.112181       -2.401853      -4.421183      5.084195
## X706      2.813611       -2.252843      -4.283087      4.554542
## X707      2.733718       -2.339353      -4.185802      4.279690
## X708      2.866193       -2.148149      -3.358138      4.229421
## X711      2.893146       -2.330882      -3.943514      4.538741
## X712      2.851284       -2.214574      -4.054163      4.648665
## X714      2.706048       -2.551944      -4.027995      4.167437
## X715      2.684440       -2.161086      -3.048922      3.760309
## X716      2.808197       -2.215490      -3.315111      4.621105
## X717      2.932260       -2.508626      -3.020640      4.553792
## X718      2.719979       -2.305590      -3.773566      4.089126
## X719      2.885359       -2.532753      -4.140179      4.316482
## X720      3.033991       -2.175952      -4.472389      4.449513
## X721      3.030134       -2.363929      -2.915813      4.853256
## X722      2.730464       -2.233059      -2.344866      4.055916
## X723      2.571084       -2.327493      -4.712199      3.737909
## X724      2.730464       -2.366164      -3.903559      4.147887
## X725      2.887033       -2.447149      -4.159203      4.534963
## X726      3.032064       -2.193731      -3.004975      4.526631
## X728      2.544747       -2.373974      -4.626496      3.953251
## X729      2.561868       -2.588269      -5.093908      3.932732
## X731      2.768832       -2.442537      -3.488391      3.894116
## X733      3.100993       -2.290657      -3.449863      4.783310
## X734      3.092859       -2.472306      -3.671433      4.751724
## X735      2.983660       -2.474442      -4.830441      4.579906
## X736      2.273156       -2.344032      -4.623742      3.221497
## X737      2.933857       -2.423059      -3.700952      4.615263
## X738      3.205993       -2.254748      -3.314836      5.020540
## X739      2.830268       -2.317191      -4.290359      4.360856
## X742      2.475698       -2.073857      -3.763172      3.815845
## X743      2.688528       -2.296603      -3.853283      3.792962
## X744      2.718001       -2.431328      -4.588313      4.028805
## X745      2.670694       -2.392729      -4.827439      3.815845
## X746      2.893700       -2.333147      -2.429510      4.471360
## X747      3.001217       -2.319630      -3.195648      4.767568
## X748      3.100993       -2.772429      -6.095937      4.806397
## X749      2.569554       -2.437374      -5.057098      3.721768
## X750      3.085116       -2.212744      -3.674188      5.052569
## X751      3.279783       -2.170680      -3.045133      5.090835
## X752      3.011113       -2.343720      -3.788479      5.050733
## X753      2.702703       -2.401411      -3.289298      3.883102
## X754      3.109507       -2.401632      -4.272276      4.738557
## X755      2.715357       -2.378710      -4.422849      4.207786
## X756      2.922086       -2.454804      -4.690619      4.619646
## X757      2.844328       -2.325444      -4.743973      4.225973
## X758      2.855895       -2.295609      -4.735735      4.628388
## X759      2.766319       -2.515778      -3.811273      4.065190
## X760      3.140698       -2.230264      -1.999522      5.304618
## X761      3.063858       -2.436231      -4.022955      4.401206
## X762      2.902520       -2.666429      -5.000289      4.177151
## X764      3.144583       -2.259526      -2.971625      4.721123
## X765      2.793004       -2.533131      -4.143325      4.278004
## X766      3.104138       -2.120264      -3.396807      5.122583
## X767      3.083743       -2.607617      -2.938218      4.495315
## X768      3.113071       -2.462402      -3.297378      5.003747
## X770      2.973487       -2.344866      -4.029119      4.761381
## X771      2.961141       -2.411508      -3.661653      4.581390
## X772      3.283539       -2.170680      -2.971820      5.042143
## X773      3.167583       -2.022683      -3.471191      5.551376
## X774      2.923162       -2.306091      -3.957544      4.490698
## X775      2.814210       -2.421819      -3.953366      4.124564
## X776      2.848971       -2.217325      -4.382827      4.378696
## X777      3.008648       -2.433605      -4.197707      4.522074
## X778      3.115292       -2.300587      -3.492984      4.815841
## X779      2.558002       -2.503234      -4.393290      3.696783
## X780      3.097386       -2.397995      -3.321185      4.725319
## X781      2.941276       -2.422383      -4.058784      4.517508
## X782      2.916148       -2.169804      -3.585601      3.959079
## X783      3.241029       -2.296603      -2.458654      4.741335
## X784      3.170106       -2.357781      -3.294138      5.172099
## X785      2.829087       -2.276917      -3.370280      4.660893
## X786      2.909630       -2.368404      -3.171992      4.673060
## X787      2.861057       -2.519001      -3.467337      4.477566
## X789      3.480317       -2.474560      -3.632877      5.725074
## X794      2.834389       -2.471596      -4.506230      4.409194
## X795      2.600465       -2.312030      -4.248895      3.801311
## X796      2.738256       -2.250942      -4.820718      4.084542
## X797      2.741485       -2.480397      -3.439834      4.039126
## X798      3.176803       -2.537928      -3.774873      4.956498
## X799      3.105931       -2.218244      -3.255021      4.881604
## X800      2.948641       -2.170680      -3.908031      4.509879
## X802      3.520757       -2.553614      -4.988923      5.547844
## X804      2.766948       -2.469348      -4.565949      4.025039
## X805      3.056357       -2.400198      -4.280915      4.890111
## X807      3.066191       -2.482310      -3.463179      4.605738
## X808      3.326833       -2.498235      -3.559607      5.484477
## X809      3.670715       -2.321564      -3.580922      5.699444
## X811      2.710713       -2.535022      -5.312416      4.136255
## X814      3.157000       -2.275943      -3.425900      4.906389
## X815      2.988708       -2.234926      -4.278748      4.835955
## X816      2.858193       -2.629008      -4.154732      4.723921
## X817      2.646884       -2.434974      -2.883833      3.883102
## X818      3.227637       -2.337487      -4.570769      5.191870
## X819      2.703373       -2.289669      -4.399783      4.208655
## X820      3.159550       -2.295609      -3.242144      4.665910
## X822      2.986692       -2.242431      -2.984397      4.562778
## X823      2.837908       -2.294617      -4.197707      4.525113
## X824      2.961658       -2.268184      -4.017384      4.485299
## X825      2.836150       -2.210918      -3.619727      4.283900
## X826      3.359333       -2.379466      -3.043873      5.253674
## X827      2.848971       -2.013654      -3.081726      4.333015
## X828      3.144152       -2.199126      -2.814244      4.977398
## X829      3.513335       -2.241490      -3.666727      5.913428
## X830      3.298057       -2.302585      -4.149012      5.412105
## X831      3.138100       -2.446225      -4.504420      4.966653
## X832      3.096934       -2.408057      -2.816582      4.683033
## X833      2.964242       -2.545931      -4.698932      4.979289
## X834      3.094219       -2.330367      -4.417861      4.827259
## X835      3.437851       -2.357147      -4.214480      5.806493
## X837      3.083743       -2.531244      -3.727205      4.874383
## X838      2.785628       -2.361804      -3.826763      4.412381
## X839      3.015045       -2.223774      -3.039684      4.534207
## X840      2.822569       -2.744351      -5.596723      4.161235
## X841      2.568022       -2.319324      -4.490057      3.725005
## X844      3.197856       -2.424188      -4.449022      5.162741
## X845      2.854169       -2.099644      -4.207065      4.008967
## X846      2.650421       -2.366697      -4.710753      4.008967
## X847      2.994732       -2.416538      -4.497213      4.464360
## X849      2.719979       -2.352196      -4.172739      4.255969
## X850      3.280911       -2.282782      -3.709490      5.232668
## X851      2.640485       -2.549381      -4.239139      3.938613
## X852      2.900322       -2.266253      -3.817167      4.781263
## X854      2.753661       -2.548741      -3.228674      4.074426
## X855      2.912351       -2.477772      -4.827314      4.367359
## X856      3.033028       -2.452827      -2.965009      4.686585
## X857      2.574138       -2.665709      -4.308776      3.654863
## X858      2.993730       -2.523232      -2.493503      4.305672
## X859      2.938633       -2.440354      -4.272276      4.603535
## X860      2.982140       -2.435317      -2.240550      4.288943
## X861      2.949688       -2.408835      -3.856115      4.607206
## X863      2.859913       -2.480277      -4.199705      4.574706
## X864      2.623218       -2.336452      -4.439656      3.860909
## X866      2.513656       -2.462989      -4.405500      3.573135
## X867      2.898119       -2.305790      -4.600183      4.392389
## X868      2.899772       -2.721744      -4.285263      4.537986
## X869      3.139400       -2.287696      -4.238446      4.458120
## X870      2.939162       -2.162823      -3.441082      4.610871
## X871      2.990217       -2.470885      -3.390554      4.366547
## X872      3.172203       -2.225624      -3.050822      4.833951
## X873      2.923699       -2.236797      -4.671096      4.482982
## X874      2.899221       -2.424414      -3.629856      4.244873
## X875      3.198265       -2.593740      -3.756302      4.976136
## X876      2.761275       -2.463811      -4.845841      4.143420
## X877      2.667228       -2.658546      -5.321995      4.109184
## X878      2.542389       -2.606939      -5.587067      3.805473
## X880      2.950212       -2.428829      -4.698383      4.633474
## X881      2.753024       -2.574656      -5.112502      4.256821
## X882      2.593013       -2.431101      -3.587045      3.748604
## X883      2.372111       -2.453757      -4.312501      3.334618
## X884      2.923162       -2.231195      -4.266557      4.314822
## X885      2.824351       -2.463811      -5.805151      4.076268
## X886      2.644755       -2.559544      -5.155603      3.756060
## X887      2.937573       -2.328313      -4.098955      4.518270
## X888      2.939162       -2.305790      -2.719617      4.393191
## X889      2.833213       -2.582696      -4.529135      4.121857
## X892      2.589267       -2.176834      -3.904055      4.199074
## X893      3.068518       -2.145581      -3.716867      4.991235
## X894      2.721953       -2.444955      -4.255923      4.225110
## X895      2.850707       -2.274970      -4.654991      4.200819
## X896      2.555676       -2.374189      -4.481184      3.913012
## X898      3.030617       -2.146436      -3.871361      4.896635
## X899      3.085573       -2.149864      -3.281816      4.534207
## X900      2.741485       -2.354826      -3.428055      4.276316
## X901      2.962692       -2.345597      -3.424978      4.273783
## X903      2.693275       -2.488192      -4.944286      4.283059
## X907      3.064792       -2.395139      -3.244963      5.143922
## X908      2.863914       -2.295609      -4.234297      4.654427
## X909      3.189241       -2.235861      -3.926629      4.919334
## X910      2.805782       -2.327800      -3.489045      4.236301
## X911      2.823757       -2.467342      -3.360727      4.366547
## X912      2.705380       -2.270118      -3.975495      4.093700
## X913      3.076390       -2.323094      -3.390851      5.160983
## X914      2.737609       -2.162823      -4.512591      3.928802
## X915      2.688528       -2.314455      -3.063797      4.054986
## X917      2.690565       -2.421932      -4.195713      3.906069
## X918      2.774462       -2.399537      -4.762058      4.173623
## X921      2.955951       -2.085057      -2.724332      4.454212
## X922      2.859913       -2.163693      -3.159900      4.407598
## X923      3.248046       -2.278869      -3.716867      5.075113
## X924      2.644045       -2.620864      -3.385226      3.685830
## X925      2.948116       -2.434974      -3.161787      4.313992
## X926      2.922624       -2.223774      -3.236022      4.506820
## X927      2.785628       -2.436917      -4.835968      4.562030
## X928      2.740195       -2.489758      -3.540804      3.883102
## X929      2.907993       -2.293625      -4.712533      4.519792
## X931      3.071303       -2.455503      -3.889772      4.818532
## X932      2.935982       -2.335522      -4.106822      4.592488
## X933      2.906354       -2.334489      -4.014610      4.552291
## X934      2.830268       -2.533635      -4.382027      4.252561
## X935      3.080992       -2.391416      -3.960163      4.620376
## X936      3.289521       -2.312131      -3.063155      5.110649
## X937      2.891482       -2.382603      -4.277306      4.444020
## X938      2.847812       -2.366164      -4.499010      4.625478
## X939      3.086487       -2.241490      -3.568079      4.578422
## X941      2.580974       -2.530364      -4.209755      3.675924
## X942      2.714695       -2.301586      -3.621221      4.264469
## X943      2.853593       -2.359579      -3.965951      4.374653
## X944      2.776954       -2.488674      -4.143325      4.121857
## X946      3.006672       -2.399867      -2.571380      4.346158
## X949      2.935451       -2.107018      -3.090263      5.050733
## X950      2.561868       -2.089896      -4.030244      4.150563
## X952      3.123246       -2.668589      -3.087848      4.785356
## X953      2.861057       -2.261443      -3.295487      4.371414
## X954      2.618855       -2.481353      -3.876173      3.849729
## X955      3.148024       -2.443918      -4.050136      4.981809
## X956      2.645465       -2.512319      -3.497929      4.037253
## X957      2.782539       -2.655553      -4.258041      4.100089
## X958      2.740840       -2.481114      -2.707700      4.003267
## X959      3.144583       -2.292635      -3.194915      4.900541
## X960      2.503074       -2.302985      -4.294016      3.667081
## X962      2.994231       -2.154165      -3.530851      4.832614
## X963      3.103689       -2.148149      -3.289835      4.787400
## X964      2.874694       -2.273998      -4.115977      4.578422
## X965      2.843746       -2.520119      -4.363794      4.544020
## X967      2.859913       -2.520244      -3.359000      4.197328
## X968      2.696652       -2.558639      -4.220588      4.134460
## X970      3.045474       -2.095571      -3.291984      4.721123
## X971      2.389680       -2.422270      -4.419521      4.115529
## X972      2.906354       -2.610334      -3.293330      4.488386
## X973      2.783158       -2.314759      -4.354411      4.362484
## X974      2.704711       -2.443918      -4.768748      3.796097
## X975      2.922624       -2.298593      -3.847172      4.562030
## X976      2.698673       -2.354405      -4.385232      4.064264
## X977      3.061988       -2.583490      -3.105547      4.666626
## X978      3.028199       -2.267218      -3.585601      4.549287
## X980      2.866193       -2.423849      -4.610484      5.256500
## X981      2.823163       -2.228406      -4.671844      4.625478
## X982      3.076390       -2.529611      -3.621595      4.735776
## X983      3.096030       -2.463341      -3.572698      4.971715
## X984      3.394844       -2.486508      -4.249596      5.289608
## X986      3.077312       -2.259526      -4.089954      4.952042
## X987      3.048325       -2.189256      -3.247018      4.712008
## X988      2.498974       -2.432124      -4.371680      3.803393
## X989      3.063858       -2.284745      -4.662587      4.799630
## X990      2.946542       -2.459707      -3.888795      4.664478
## X992      2.773838       -2.218244      -3.909526      4.072581
## X993      2.951258       -2.401632      -3.572342      4.556042
## X994      2.950735       -2.230264      -3.971242      4.374653
## X995      3.057768       -2.511210      -5.167816      4.800985
## X997      3.090133       -2.430305      -3.840633      5.002499
## X1000     3.114848       -2.307899      -2.778526      4.706382
## X1001     2.872434       -2.249993      -3.412764      4.353519
## X1002     2.972464       -2.177716      -3.606378      4.523594
## X1003     3.089678       -2.284745      -3.197114      4.932212
## X1004     2.829678       -2.416426      -4.095345      4.151454
## X1008     2.975530       -2.443688      -4.514416      4.737167
## X1010     2.844909       -2.417435      -3.070887      4.656584
## X1011     3.235536       -2.485187      -3.144696      5.207462
## X1012     2.759377       -2.428489      -4.460204      3.862936
## X1013     2.907993       -2.508134      -4.319240      4.385955
## X1014     2.824351       -2.413852      -4.160484      4.279690
## X1016     3.333275       -2.302885      -3.904551      5.378924
## X1017     2.871302       -2.388252      -4.447312      4.339596
## X1018     2.962175       -2.478368      -3.888306      4.763445
## X1019     3.021400       -2.334695      -3.875209      5.004371
## X1020     3.069912       -2.716133      -2.802965      4.748958
## X1022     3.340385       -2.472543      -3.653898      5.343130
## X1023     2.637628       -2.208184      -4.381227      3.804433
## X1024     2.841998       -2.455387      -4.763111      4.290621
## X1025     3.424914       -2.381087      -4.385232      5.539246
## X1026     3.377246       -2.369045      -3.722229      5.393426
## X1028     3.224062       -2.480636      -4.713424      4.992489
## X1029     3.339322       -2.527731      -4.366153      5.290165
## X1030     3.301377       -2.312837      -3.808114      5.150996
## X1031     3.268428       -2.221927      -2.923598      4.960311
## X1032     3.295466       -2.659975      -4.086972      4.998750
## X1034     2.902520       -2.594811      -4.204383      4.432205
## X1035     3.002211       -2.490844      -2.709501      4.556042
## X1036     3.032064       -2.444725      -3.448604      4.553042
## X1037     2.895912       -2.487590      -4.376442      4.489157
## X1038     3.149740       -2.376339      -2.655695      4.796239
## X1039     2.900322       -2.141317      -3.440146      4.548535
## X1040     2.917230       -2.413964      -3.917538      4.565019
## X1041     3.337192       -2.435888      -4.163695      5.081777
## X1043     3.400197       -2.564080      -4.798391      5.352397
## X1045     2.755570       -2.403511      -4.019608      4.042868
## X1046     3.021887       -2.415642      -3.414891      4.684455
## X1047     2.810607       -2.684138      -4.331334      4.261073
## X1048     2.680336       -2.257612      -3.856588      4.269554
## X1050     2.892037       -2.398325      -4.094745      4.727414
## X1051     2.956991       -2.526854      -4.526359      4.624021
## X1052     2.643334       -2.233992      -4.232228      3.944480
## X1053     2.870169       -2.307598      -4.805330      4.403605
## X1054     2.423031       -2.260484      -4.006334      3.500171
## X1055     2.797891       -2.352406      -2.594141      4.194706
## X1056     2.824351       -2.448652      -4.273710      4.551541
## X1057     2.934920       -2.217325      -3.563834      4.897287
## X1058     2.783158       -2.182139      -4.348979      4.243161
## X1061     2.582487       -2.546186      -4.794637      3.954223
## X1062     3.023347       -2.301586      -3.611918      4.597650
## X1064     3.022374       -2.612513      -3.886355      4.768255
## X1065     3.006178       -2.344762      -4.289630      4.769627
## X1066     2.899772       -2.229335      -3.688080      4.290621
## X1067     2.851284       -2.415978      -4.289630      4.467474
## X1068     2.863343       -2.290657      -3.437654      4.351068
## X1069     3.055886       -2.221005      -3.578770      4.921270
## X1070     2.817801       -2.314354      -4.006883      4.141631
## X1071     3.198265       -2.152442      -3.255540      5.058072
## X1072     2.792391       -2.155891      -4.156007      4.226835
## X1073     2.987196       -2.370650      -3.394420      4.430625
## X1074     2.554899       -1.811554      -3.091803      3.746469
## X1076     2.997730       -2.210918      -3.817622      4.454212
## X1077     2.840247       -2.125276      -3.751606      4.169207
## X1078     2.753661       -2.361592      -4.420352      3.889116
## X1079     3.175968       -2.134532      -3.007805      5.257064
## X1080     2.687167       -2.513430      -3.240099      3.873042
## X1081     2.687847       -2.468404      -4.425352      3.871024
## X1082     3.021400       -2.201835      -3.787595      4.849274
## X1083     2.614472       -2.319528      -4.010739      3.836443
## X1084     2.948116       -2.384338      -4.116590      4.740641
## X1085     2.923699       -2.254748      -4.109864      4.363297
## X1086     3.024320       -2.236797      -3.975495      4.607940
## X1088     2.902520       -2.105375      -3.759731      4.469807
## X1090     2.631889       -1.987045      -3.673006      3.897110
## X1091     3.072693       -2.273026      -3.438276      4.660893
## X1092     2.987196       -2.463811      -5.132803      4.624750
## X1093     2.927453       -2.311021      -3.793796      4.565765
## X1094     2.752386       -2.354721      -3.891240      4.360042
## X1096     2.931194       -2.230264      -4.238446      4.530422
## X1097     2.507157       -2.407612      -4.691927      4.035378
## X1100     2.865624       -2.232127      -4.009085      4.735080
## X1101     2.996732       -2.286712      -4.058784      4.792163
## X1103     3.028683       -2.390761      -3.477323      4.676626
## X1104     2.869035       -2.334385      -3.387886      4.630569
## X1105     3.037833       -2.257612      -3.643524      4.554542
## X1107     3.196221       -2.090705      -3.353837      5.011847
## X1110     2.670002       -2.304186      -3.191261      4.073504
## X1111     3.218476       -2.426223      -3.067658      4.983068
## X1112     3.235536       -2.491931      -4.446458      5.018060
## X1115     3.145445       -2.380979      -3.863709      4.811124
## X1116     2.794228       -2.360850      -4.927168      4.258523
## X1117     2.808197       -2.421707      -3.478943      4.281375
## X1118     2.962175       -2.466163      -4.489167      4.562778
## X1120     3.067122       -2.599510      -4.506230      4.500691
## X1121     3.110845       -2.346955      -3.489701      4.754487
## X1122     3.382015       -2.491810      -4.395720      5.238363
## X1123     3.088311       -2.381628      -3.998671      4.522074
## X1124     3.364533       -2.510471      -3.838308      5.223531
## X1125     3.318178       -2.404618      -3.598673      5.175599
## X1126     2.975019       -2.299590      -3.806762      4.351068
## X1127     3.327910       -2.510471      -4.488276      5.136237
## X1128     3.121483       -2.468286      -3.070671      4.685165
## X1129     3.175133       -2.379358      -3.512576      5.303509
## X1130     3.301377       -2.309710      -3.620100      5.072078
## X1131     3.379974       -2.597090      -4.724179      5.365966
## X1132     3.421653       -2.255702      -3.027429      5.598355
## X1134     3.108614       -2.198225      -3.543568      4.622564
## X1135     3.341093       -2.324831      -3.720164      5.363258
## X1136     3.335058       -2.470412      -3.288494      5.129122
## X1137     3.378611       -2.138767      -2.787418      5.425895
## X1138     3.200304       -2.944469      -5.368740      4.895984
##       smoothness_worst symmetry_worst
## X1           -1.401837     -0.9485186
## X2           -1.552206     -1.8138504
## X3           -1.468032     -1.3273311
## X6           -1.343543     -1.1682237
## X7           -1.468808     -1.6137366
## X8           -1.390483     -1.5377457
## X9           -1.373392     -1.0226796
## X10          -1.323124     -1.0268307
## X11          -1.577215     -1.6835473
## X12          -1.486854     -1.2478490
## X13          -1.644401     -1.5488672
## X15          -1.391541     -1.3351867
## X16          -1.382068     -1.0794752
## X17          -1.460319     -1.6339618
## X18          -1.344209     -1.2853171
## X20          -1.469584     -1.6655621
## X21          -1.520913     -1.5444060
## X22          -1.515956     -2.0406102
## X23          -1.489239     -0.9275957
## X25          -1.338889     -1.3273311
## X26          -1.429814     -1.1365073
## X27          -1.437240     -1.0628195
## X28          -1.510212     -2.1336080
## X30          -1.544904     -1.8096966
## X32          -1.396495     -0.8985507
## X35          -1.467258     -1.0606668
## X38          -1.677854     -2.4867416
## X39          -1.694115     -3.0556014
## X40          -1.406135     -1.7749290
## X42          -1.305088     -1.6735918
## X43          -1.548331     -0.9266552
## X45          -1.445488     -1.2910944
## X46          -1.381719     -1.2448554
## X47          -1.527155     -1.5892127
## X48          -1.345211     -1.2025631
## X49          -1.448886     -1.8159323
## X52          -1.619427     -2.1292007
## X53          -1.593905     -1.7898096
## X54          -1.534290     -1.6387702
## X55          -1.489637     -1.8669460
## X56          -1.547473     -1.4783924
## X57          -1.401122     -1.3628885
## X58          -1.498044     -1.2888687
## X59          -1.652261     -2.0497116
## X61          -1.536401     -1.3534209
## X62          -1.395786     -1.6686442
## X64          -1.670976     -1.4910873
## X65          -1.323775     -1.4385789
## X67          -1.428706     -1.7280747
## X68          -1.530085     -2.0824829
## X69          -1.453440     -1.0758313
## X71          -1.571881     -1.9598138
## X73          -1.415161     -1.4747157
## X74          -1.480924     -1.9306463
## X75          -1.579449     -1.9088155
## X78          -1.454964     -1.2655509
## X79          -1.395786     -0.7116307
## X80          -1.530504     -1.7938986
## X81          -1.425391     -1.8055564
## X82          -1.433147     -1.3676525
## X83          -1.419530     -2.1213029
## X84          -1.488443     -2.1603515
## X85          -1.494430     -1.4406136
## X86          -1.486061     -1.2902036
## X87          -1.523404     -1.6393726
## X88          -1.547473     -1.1798150
## X89          -1.524236     -1.6686442
## X90          -1.535556     -1.5629177
## X91          -1.607252     -1.9825153
## X92          -1.544049     -1.9559389
## X93          -1.659708     -2.4422513
## X94          -1.509803     -1.8647794
## X95          -1.427599     -1.7569038
## X96          -1.573211     -1.2928782
## X97          -1.595732     -2.2380872
## X99          -1.473086     -1.7986859
## X100         -1.473086     -1.8362356
## X102         -1.415525     -1.6935843
## X103         -1.603546     -1.8532856
## X104         -1.424656     -1.9058328
## X105         -1.560451     -1.7622177
## X106         -1.320199     -1.5651813
## X108         -1.575878     -1.6618738
## X109         -1.374083     -1.1407587
## X110         -1.374774     -1.7602223
## X111         -1.459169     -1.9738585
## X112         -1.531344     -2.2390390
## X113         -1.717446     -2.0841850
## X114         -1.525902     -2.0970190
## X115         -1.366172     -1.6973693
## X116         -1.446619     -2.0505420
## X117         -1.578108     -2.9206783
## X118         -1.315025     -1.3402996
## X119         -1.322473     -1.4953499
## X120         -1.627498     -0.8624052
## X121         -1.428706     -1.6417852
## X123         -1.375812     -1.5234428
## X125         -1.650288     -2.4194174
## X126         -1.587999     -2.1134503
## X127         -1.457637     -1.3951992
## X128         -1.652261     -1.7522726
## X129         -1.490832     -1.9298875
## X130         -1.536401     -1.4789186
## X131         -1.474648     -1.3956885
## X132         -1.429444     -1.7549169
## X133         -1.487251     -1.3903175
## X134         -1.558708     -1.8327119
## X135         -1.459935     -1.5869030
## X137         -1.538094     -2.8336824
## X138         -1.573211     -1.8662234
## X139         -1.480924     -1.4229317
## X140         -1.498446     -2.3622810
## X141         -1.553935     -1.5892127
## X142         -1.520085     -1.7850558
## X144         -1.520913     -1.3571983
## X146         -1.475821     -1.8298999
## X147         -1.491231     -0.6320347
## X148         -1.664214     -1.7450294
## X149         -1.519257     -1.8554329
## X150         -1.677342     -2.1256850
## X152         -1.398983     -1.4700056
## X154         -1.508987     -1.7404419
## X155         -1.454964     -1.2237105
## X156         -1.561324     -1.5845978
## X158         -1.726991     -1.9785734
## X159         -1.536401     -1.9888468
## X160         -1.581689     -1.8221988
## X161         -1.502079     -1.5533453
## X162         -1.603084     -2.0463949
## X163         -1.470361     -1.3136025
## X164         -1.464938     -2.1996053
## X165         -1.556535     -1.3384376
## X166         -1.640502     -1.8880790
## X168         -1.583037     -1.7729134
## X169         -1.494831     -2.3033148
## X171         -1.491231     -1.7615522
## X172         -1.484873     -1.7241946
## X175         -1.625591     -1.8418938
## X176         -1.585739     -1.9283710
## X177         -1.525485     -1.9118051
## X178         -1.479351     -1.6190575
## X179         -1.763600     -2.1748286
## X180         -1.585739     -2.7364649
## X182         -1.450022     -1.1242373
## X183         -1.479744     -1.4114596
## X184         -1.604471     -2.6997069
## X187         -1.553935     -1.5322240
## X188         -1.516368     -1.9436150
## X189         -1.502888     -1.5355339
## X190         -1.616129     -2.0144782
## X191         -1.434262     -0.7826129
## X192         -1.694063     -2.2845122
## X193         -1.824755     -2.5774861
## X194         -1.345545     -1.5272765
## X196         -1.615659     -1.6369648
## X197         -1.361734     -1.6037499
## X198         -1.724360     -2.1091071
## X200         -1.427231     -0.9009890
## X201         -1.473867     -1.8720155
## X202         -1.492829     -1.6961064
## X203         -1.433147     -1.5366393
## X204         -1.209422     -1.0042088
## X205         -1.475039     -1.6429933
## X206         -1.450022     -1.4224305
## X207         -1.479351     -1.6581966
## X208         -1.609112     -1.4948162
## X209         -1.505728     -1.1128640
## X210         -1.559143     -2.1522740
## X211         -1.578555     -1.7081572
## X212         -1.534290     -1.9722906
## X214         -1.550051     -2.9953191
## X216         -1.461856     -1.3195307
## X217         -1.483291     -1.4314859
## X218         -1.686819     -1.7345684
## X220         -1.482107     -1.8397690
## X222         -1.494831     -1.6125574
## X223         -1.482896     -1.6184651
## X224         -1.427231     -1.1650483
## X225         -1.535978     -1.9952086
## X226         -1.527155     -1.6143267
## X228         -1.597563     -1.6798045
## X229         -1.556969     -1.7622177
## X230         -1.348222     -1.4264463
## X232         -1.703821     -1.7470007
## X233         -1.663010     -1.7068831
## X234         -1.558708     -2.0513730
## X235         -1.445111     -1.8090056
## X236         -1.531344     -2.2390390
## X239         -1.623214     -2.6004371
## X240         -1.499252     -1.7443730
## X241         -1.535133     -1.9762139
## X242         -1.644401     -1.7132666
## X243         -1.506542     -1.4773407
## X244         -1.695111     -1.8756488
## X245         -1.460703     -1.7011661
## X246         -1.440979     -1.7248404
## X248         -1.545331     -1.8932321
## X249         -1.446997     -1.4254410
## X250         -1.489637     -1.8749213
## X251         -1.563950     -1.5771365
## X253         -1.370978     -1.8145440
## X254         -1.478958     -1.5702903
## X255         -1.447752     -1.4406136
## X256         -1.442104     -1.6107907
## X257         -1.533868     -1.7675541
## X258         -1.352253     -1.5039222
## X259         -1.445111     -1.4937496
## X263         -1.598480     -1.6113793
## X264         -1.621791     -1.8611765
## X266         -1.484873     -1.7345684
## X267         -1.563074     -1.6885556
## X268         -1.660208     -2.0439127
## X269         -1.544476     -1.3314830
## X270         -1.511439     -1.9185567
## X272         -1.502079     -1.8256936
## X273         -1.537670     -1.7575668
## X274         -1.459169     -1.7522726
## X275         -1.519671     -1.9968038
## X276         -1.501675     -2.2447636
## X277         -1.543196     -1.8083150
## X278         -1.550051     -1.9474538
## X279         -1.638076     -2.1389154
## X281         -1.346547     -1.5039222
## X282         -1.644889     -1.5915268
## X283         -1.439855     -1.3379726
## X284         -1.499252     -1.8000570
## X285         -1.666428     -2.4732544
## X286         -1.643912     -1.9960060
## X287         -1.606788     -2.0282975
## X288         -1.682219     -2.1621529
## X289         -1.648811     -1.6791818
## X290         -1.605860     -1.4990925
## X291         -1.663562     -2.1959068
## X292         -1.520499     -1.6748318
## X293         -1.453060     -1.4401046
## X294         -1.497641     -1.5915268
## X295         -1.526737     -2.1091071
## X296         -1.582138     -1.7642162
## X297         -1.698055     -2.3203498
## X298         -1.597105     -2.4969375
## X299         -1.691083     -1.8954469
## X300         -1.594361     -2.2380872
## X301         -1.448508     -1.6711155
## X302         -1.638076     -1.8597382
## X303         -1.506542     -1.4847225
## X304         -1.480137     -2.2514717
## X306         -1.685886     -1.5114749
## X307         -1.601239     -1.8844106
## X308         -1.669710     -1.6569733
## X309         -1.713449     -2.2005314
## X310         -1.654735     -2.3571020
## X312         -1.657217     -1.9762139
## X313         -1.571438     -1.9497625
## X314         -1.618012     -1.4350269
## X316         -1.612379     -2.5679247
## X318         -1.471917     -1.7715714
## X319         -1.559579     -1.5719981
## X320         -1.747337     -2.5871077
## X321         -1.484477     -1.9163022
## X322         -1.636142     -1.6184651
## X323         -1.429075     -2.0978789
## X324         -1.412624     -0.6826914
## X325         -1.544476     -1.8771050
## X326         -1.491630     -1.8575837
## X329         -1.413348     -1.5903692
## X331         -1.471528     -1.6399753
## X332         -1.530924     -1.3351867
## X333         -1.475821     -1.4857809
## X335         -1.559143     -1.9574875
## X336         -1.466097     -1.9050882
## X337         -1.594818     -2.0555355
## X339         -1.484477     -1.7177547
## X340         -1.440979     -1.9276134
## X341         -1.528409     -1.6196501
## X342         -1.554367     -1.6624877
## X343         -1.478172     -1.4810257
## X344         -1.560888     -1.1446385
## X345         -1.461856     -1.8034913
## X346         -1.501270     -2.0538690
## X347         -1.530504     -1.7267800
## X348         -1.560015     -1.5869030
## X349         -1.435005     -1.7456862
## X350         -1.528827     -1.5782813
## X351         -1.664817     -1.8270941
## X352         -1.427968     -1.0696662
## X353         -1.435377     -1.2924320
## X354         -1.388371     -1.8822146
## X355         -1.722066     -1.9405520
## X358         -1.589811     -2.1151915
## X359         -1.655231     -2.0538690
## X360         -1.512259     -2.0373158
## X361         -1.699057     -2.2323896
## X362         -1.595732     -1.8947083
## X363         -1.526737     -1.8180177
## X365         -1.563074     -1.8201066
## X366         -1.514721     -1.9155516
## X367         -1.535133     -1.4969524
## X369         -1.500059     -1.9920239
## X370         -1.528409     -1.8201066
## X371         -1.479351     -0.8795614
## X372         -1.602161     -2.0104407
## X374         -1.423555     -1.8568664
## X375         -1.611911     -1.4694835
## X376         -1.553502     -1.5617875
## X377         -1.594361     -1.9245875
## X378         -1.610510     -1.8532856
## X379         -1.536401     -1.4365479
## X380         -1.221525     -1.1031070
## X381         -1.406135     -1.4590896
## X382         -1.616599     -1.5344296
## X383         -1.725620     -2.2727630
## X384         -1.474648     -1.7668858
## X385         -1.583937     -1.8235956
## X386         -1.520913     -2.0185279
## X387         -1.649795     -1.8655012
## X390         -1.546616     -1.9405520
## X392         -1.461856     -2.0447396
## X394         -1.445865     -1.2325409
## X395         -1.472696     -1.6220237
## X398         -1.686456     -2.4856130
## X399         -1.604934     -1.9298875
## X400         -1.549621     -1.7938986
## X401         -1.316639     -1.5109338
## X402         -1.495633     -2.0323892
## X403         -1.697160     -1.5316732
## X405         -1.639046     -2.1721026
## X406         -1.500059     -2.2154336
## X407         -1.566145     -1.7945814
## X408         -1.693330     -2.0096347
## X409         -1.453440     -1.6155076
## X410         -1.551343     -1.4025614
## X411         -1.464552     -1.6680271
## X412         -1.497641     -1.6527015
## X413         -1.620845     -2.1030497
## X414         -1.625115     -1.5561527
## X415         -1.592083     -1.5174436
## X416         -1.475039     -1.6066785
## X417         -1.436867     -1.7319669
## X418         -1.440230     -1.6496593
## X419         -1.520085     -1.7966320
## X421         -1.547473     -1.6303680
## X423         -1.479351     -1.7884496
## X424         -1.592538     -1.8180177
## X425         -1.486061     -1.5377457
## X426         -1.602161     -2.1265631
## X428         -1.524652     -1.6729722
## X431         -1.477780     -1.7358713
## X432         -1.465711     -1.9559389
## X433         -1.386615     -1.6321636
## X434         -1.489239     -1.6472311
## X436         -1.405058     -1.5471923
## X437         -1.562636     -1.4747157
## X438         -1.570996     -1.8313051
## X439         -1.605860     -1.9896404
## X440         -1.645868     -2.3274232
## X441         -1.488841     -1.9683790
## X443         -1.627498     -2.6386361
## X444         -1.673109     -1.8497148
## X445         -1.541491     -1.7516124
## X446         -1.521328     -1.9230772
## X447         -1.484873     -1.6686442
## X448         -1.557403     -1.3333333
## X449         -1.619427     -2.0234038
## X450         -1.498044     -2.1996053
## X451         -1.690457     -2.1657627
## X452         -1.436122     -2.1766489
## X453         -1.565266     -2.0430863
## X455         -1.557838     -1.4974871
## X456         -1.581241     -2.2678960
## X457         -1.482896     -1.7241946
## X459         -1.560888     -2.1648594
## X460         -1.609578     -2.1513794
## X461         -1.409733     -1.6454131
## X462         -1.502484     -1.8917577
## X464         -1.508579     -1.5300225
## X465         -1.533447     -2.2304954
## X466         -1.568346     -1.7496338
## X467         -1.504916     -1.9505330
## X468         -1.490035     -1.6172812
## X469         -1.565705     -2.1693820
## X471         -1.553935     -1.5499851
## X472         -1.642449     -2.0790851
## X473         -1.630847     -1.8575837
## X475         -1.512668     -1.9367333
## X476         -1.515133     -1.6478377
## X477         -1.589811     -1.9730743
## X480         -1.494430     -1.4720966
## X481         -1.565266     -2.0773893
## X482         -1.631327     -2.1204282
## X483         -1.488046     -1.5207121
## X485         -1.431294     -1.9551652
## X487         -1.594818     -2.0364934
## X488         -1.441353     -1.4996282
## X493         -1.522157     -1.5076925
## X494         -1.691396     -2.1885391
## X495         -1.605860     -1.8583015
## X496         -1.561761     -2.1091071
## X497         -1.434262     -1.5190767
## X498         -1.535978     -1.6303680
## X500         -1.460319     -2.0160966
## X502         -1.342543     -1.3099702
## X504         -1.569228     -1.7087947
## X505         -1.307322     -1.6285751
## X506         -1.274705     -1.7476584
## X508         -1.387668     -1.7932162
## X510         -1.363438     -1.6435978
## X511         -1.627020     -1.9193090
## X512         -1.596189     -2.1398020
## X513         -1.419165     -1.3402996
## X515         -1.548761     -2.1867032
## X516         -1.453060     -1.6155076
## X517         -1.449644     -1.6072651
## X519         -1.463396     -1.9359709
## X520         -1.456108     -1.6090266
## X521         -1.324101     -1.2964545
## X522         -1.508579     -1.5595304
## X524         -1.475430     -1.7470007
## X525         -1.477780     -1.9984010
## X526         -1.395077     -1.6618738
## X527         -1.401122     -1.3719574
## X528         -1.529246     -1.5863263
## X529         -1.487648     -2.3033148
## X530         -1.438733     -1.7925342
## X531         -1.505728     -2.0177170
## X532         -1.427968     -1.5322240
## X533         -1.541066     -1.7756016
## X537         -1.493229     -1.8504281
## X538         -1.351243     -1.7776215
## X539         -1.544476     -1.6166897
## X540         -1.411177     -1.7864122
## X541         -1.507356     -2.1442434
## X543         -1.633249     -1.8334159
## X544         -1.627498     -2.0217765
## X546         -1.561761     -1.8910211
## X547         -1.532184     -1.8626165
## X548         -1.461471     -1.8554329
## X551         -1.662208     -2.0340294
## X552         -1.620372     -1.5527846
## X553         -1.553935     -2.0765423
## X554         -1.612846     -2.0530365
## X555         -1.556969     -2.1065078
## X556         -1.491630     -2.2390390
## X557         -1.540640     -2.2051713
## X558         -1.627020     -2.0201513
## X559         -1.649795     -2.2088944
## X560         -1.526737     -2.3519414
## X562         -1.700430     -3.0539870
## X564         -1.482501     -1.6954754
## X565         -1.481318     -2.4065265
## X567         -1.596189     -2.2466769
## X568         -1.391894     -1.1284389
## X570         -1.401837     -0.9485186
## X571         -1.552206     -1.8138504
## X572         -1.468032     -1.3273311
## X573         -1.246824     -0.4547732
## X575         -1.343543     -1.1682237
## X576         -1.468808     -1.6137366
## X577         -1.390483     -1.5377457
## X578         -1.373392     -1.0226796
## X579         -1.323124     -1.0268307
## X580         -1.577215     -1.6835473
## X583         -1.599859     -1.7735849
## X584         -1.391541     -1.3351867
## X585         -1.382068     -1.0794752
## X586         -1.460319     -1.6339618
## X587         -1.344209     -1.2853171
## X588         -1.442104     -1.8014296
## X589         -1.469584     -1.6655621
## X590         -1.520913     -1.5444060
## X591         -1.515956     -2.0406102
## X592         -1.489239     -0.9275957
## X593         -1.484873     -1.7648831
## X595         -1.429814     -1.1365073
## X601         -1.396495     -0.8985507
## X602         -1.397561     -1.3662211
## X603         -1.443230     -1.3004918
## X604         -1.467258     -1.0606668
## X605         -1.423188     -0.8679915
## X606         -1.467258     -1.3375078
## X607         -1.677854     -2.4867416
## X608         -1.694115     -3.0556014
## X609         -1.406135     -1.7749290
## X610         -1.617070     -1.6551407
## X611         -1.305088     -1.6735918
## X613         -1.435377     -1.2707870
## X614         -1.445488     -1.2910944
## X615         -1.381719     -1.2448554
## X618         -1.448886     -1.8159323
## X619         -1.585739     -1.7326167
## X620         -1.621318     -2.0547020
## X621         -1.619427     -2.1292007
## X622         -1.593905     -1.7898096
## X623         -1.534290     -1.6387702
## X624         -1.489637     -1.8669460
## X625         -1.547473     -1.4783924
## X627         -1.498044     -1.2888687
## X628         -1.652261     -2.0497116
## X629         -1.363097     -1.5245369
## X630         -1.536401     -1.3534209
## X631         -1.395786     -1.6686442
## X632         -1.395431     -1.7502930
## X633         -1.670976     -1.4910873
## X635         -1.392600     -1.4705280
## X636         -1.428706     -1.7280747
## X637         -1.530085     -2.0824829
## X638         -1.453440     -1.0758313
## X640         -1.571881     -1.9598138
## X642         -1.415161     -1.4747157
## X643         -1.480924     -1.9306463
## X644         -1.579449     -1.9088155
## X645         -1.446619     -1.8851434
## X646         -1.465324     -1.8418938
## X647         -1.454964     -1.2655509
## X648         -1.395786     -0.7116307
## X649         -1.530504     -1.7938986
## X651         -1.433147     -1.3676525
## X652         -1.419530     -2.1213029
## X653         -1.488443     -2.1603515
## X654         -1.494430     -1.4406136
## X655         -1.486061     -1.2902036
## X656         -1.523404     -1.6393726
## X657         -1.547473     -1.1798150
## X658         -1.524236     -1.6686442
## X659         -1.535556     -1.5629177
## X660         -1.607252     -1.9825153
## X661         -1.544049     -1.9559389
## X662         -1.659708     -2.4422513
## X663         -1.509803     -1.8647794
## X664         -1.427599     -1.7569038
## X667         -1.519257     -2.5478042
## X668         -1.473086     -1.7986859
## X669         -1.473086     -1.8362356
## X670         -1.540640     -1.8844106
## X671         -1.415525     -1.6935843
## X672         -1.603546     -1.8532856
## X674         -1.560451     -1.7622177
## X675         -1.320199     -1.5651813
## X677         -1.575878     -1.6618738
## X678         -1.374083     -1.1407587
## X679         -1.374774     -1.7602223
## X680         -1.459169     -1.9738585
## X681         -1.531344     -2.2390390
## X682         -1.717446     -2.0841850
## X683         -1.525902     -2.0970190
## X685         -1.446619     -2.0505420
## X686         -1.578108     -2.9206783
## X687         -1.315025     -1.3402996
## X689         -1.627498     -0.8624052
## X690         -1.428706     -1.6417852
## X692         -1.375812     -1.5234428
## X693         -1.520499     -1.7209705
## X694         -1.650288     -2.4194174
## X695         -1.587999     -2.1134503
## X697         -1.652261     -1.7522726
## X698         -1.490832     -1.9298875
## X699         -1.536401     -1.4789186
## X700         -1.474648     -1.3956885
## X701         -1.429444     -1.7549169
## X702         -1.487251     -1.3903175
## X703         -1.558708     -1.8327119
## X704         -1.459935     -1.5869030
## X705         -1.477780     -1.7602223
## X706         -1.538094     -2.8336824
## X707         -1.573211     -1.8662234
## X708         -1.480924     -1.4229317
## X711         -1.520085     -1.7850558
## X712         -1.480137     -1.9344474
## X714         -1.625591     -2.1702883
## X715         -1.475821     -1.8298999
## X716         -1.491231     -0.6320347
## X717         -1.664214     -1.7450294
## X718         -1.519257     -1.8554329
## X719         -1.677342     -2.1256850
## X720         -1.527155     -1.5377457
## X721         -1.398983     -1.4700056
## X722         -1.529246     -1.5874800
## X723         -1.508987     -1.7404419
## X724         -1.454964     -1.2237105
## X725         -1.561324     -1.5845978
## X726         -1.478172     -2.0299327
## X728         -1.536401     -1.9888468
## X729         -1.581689     -1.8221988
## X731         -1.603084     -2.0463949
## X733         -1.464938     -2.1996053
## X734         -1.556535     -1.3384376
## X735         -1.640502     -1.8880790
## X736         -1.471139     -2.3747864
## X737         -1.583037     -1.7729134
## X738         -1.494831     -2.3033148
## X739         -1.561761     -2.0790851
## X742         -1.435005     -1.5267281
## X743         -1.561761     -2.5859017
## X744         -1.625591     -1.8418938
## X745         -1.585739     -1.9283710
## X746         -1.525485     -1.9118051
## X747         -1.479351     -1.6190575
## X748         -1.763600     -2.1748286
## X749         -1.585739     -2.7364649
## X750         -1.457254     -1.7424059
## X751         -1.450022     -1.1242373
## X752         -1.479744     -1.4114596
## X753         -1.604471     -2.6997069
## X754         -1.525485     -1.5494260
## X755         -1.438733     -1.6929546
## X756         -1.553935     -1.5322240
## X757         -1.516368     -1.9436150
## X758         -1.502888     -1.5355339
## X759         -1.616129     -2.0144782
## X760         -1.434262     -0.7826129
## X761         -1.694063     -2.2845122
## X762         -1.824755     -2.5774861
## X764         -1.519257     -1.6514837
## X765         -1.615659     -1.6369648
## X766         -1.361734     -1.6037499
## X767         -1.724360     -2.1091071
## X768         -1.516780     -1.5394073
## X770         -1.473867     -1.8720155
## X771         -1.492829     -1.6961064
## X772         -1.433147     -1.5366393
## X773         -1.209422     -1.0042088
## X774         -1.475039     -1.6429933
## X775         -1.450022     -1.4224305
## X776         -1.479351     -1.6581966
## X777         -1.609112     -1.4948162
## X778         -1.505728     -1.1128640
## X779         -1.559143     -2.1522740
## X780         -1.578555     -1.7081572
## X781         -1.534290     -1.9722906
## X782         -1.594818     -2.9266464
## X783         -1.550051     -2.9953191
## X784         -1.424656     -0.9098798
## X785         -1.461856     -1.3195307
## X786         -1.483291     -1.4314859
## X787         -1.686819     -1.7345684
## X789         -1.482107     -1.8397690
## X794         -1.535978     -1.9952086
## X795         -1.527155     -1.6143267
## X796         -1.508987     -1.9110570
## X797         -1.597563     -1.6798045
## X798         -1.556969     -1.7622177
## X799         -1.348222     -1.4264463
## X800         -1.373392     -1.5869030
## X802         -1.663010     -1.7068831
## X804         -1.445111     -1.8090056
## X805         -1.531344     -2.2390390
## X807         -1.556535     -2.2276590
## X808         -1.623214     -2.6004371
## X809         -1.499252     -1.7443730
## X811         -1.644401     -1.7132666
## X814         -1.460703     -1.7011661
## X815         -1.440979     -1.7248404
## X816         -1.613783     -1.8021165
## X817         -1.545331     -1.8932321
## X818         -1.446997     -1.4254410
## X819         -1.489637     -1.8749213
## X820         -1.563950     -1.5771365
## X822         -1.370978     -1.8145440
## X823         -1.478958     -1.5702903
## X824         -1.447752     -1.4406136
## X825         -1.442104     -1.6107907
## X826         -1.533868     -1.7675541
## X827         -1.352253     -1.5039222
## X828         -1.445111     -1.4937496
## X829         -1.313415     -1.3748365
## X830         -1.438360     -1.5629177
## X831         -1.551343     -2.0389620
## X832         -1.598480     -1.6113793
## X833         -1.621791     -1.8611765
## X834         -1.425023     -1.5267281
## X835         -1.484873     -1.7345684
## X837         -1.660208     -2.0439127
## X838         -1.544476     -1.3314830
## X839         -1.511439     -1.9185567
## X840         -1.738456     -2.0340294
## X841         -1.502079     -1.8256936
## X844         -1.519671     -1.9968038
## X845         -1.501675     -2.2447636
## X846         -1.543196     -1.8083150
## X847         -1.550051     -1.9474538
## X849         -1.575433     -1.6791818
## X850         -1.346547     -1.5039222
## X851         -1.644889     -1.5915268
## X852         -1.439855     -1.3379726
## X854         -1.666428     -2.4732544
## X855         -1.643912     -1.9960060
## X856         -1.606788     -2.0282975
## X857         -1.682219     -2.1621529
## X858         -1.648811     -1.6791818
## X859         -1.605860     -1.4990925
## X860         -1.663562     -2.1959068
## X861         -1.520499     -1.6748318
## X863         -1.497641     -1.5915268
## X864         -1.526737     -2.1091071
## X866         -1.698055     -2.3203498
## X867         -1.597105     -2.4969375
## X868         -1.691083     -1.8954469
## X869         -1.594361     -2.2380872
## X870         -1.448508     -1.6711155
## X871         -1.638076     -1.8597382
## X872         -1.506542     -1.4847225
## X873         -1.480137     -2.2514717
## X874         -1.593905     -2.2562827
## X875         -1.685886     -1.5114749
## X876         -1.601239     -1.8844106
## X877         -1.669710     -1.6569733
## X878         -1.713449     -2.2005314
## X880         -1.558708     -1.3869129
## X881         -1.657217     -1.9762139
## X882         -1.571438     -1.9497625
## X883         -1.618012     -1.4350269
## X884         -1.506542     -1.5680169
## X885         -1.612379     -2.5679247
## X886         -1.662208     -2.1766489
## X887         -1.471917     -1.7715714
## X888         -1.559579     -1.5719981
## X889         -1.747337     -2.5871077
## X892         -1.429075     -2.0978789
## X893         -1.412624     -0.6826914
## X894         -1.544476     -1.8771050
## X895         -1.491630     -1.8575837
## X896         -1.533868     -2.3643578
## X898         -1.413348     -1.5903692
## X899         -1.475039     -1.8235956
## X900         -1.471528     -1.6399753
## X901         -1.530924     -1.3351867
## X903         -1.583937     -1.7695612
## X907         -1.447374     -1.2973504
## X908         -1.484477     -1.7177547
## X909         -1.440979     -1.9276134
## X910         -1.528409     -1.6196501
## X911         -1.554367     -1.6624877
## X912         -1.478172     -1.4810257
## X913         -1.560888     -1.1446385
## X914         -1.461856     -1.8034913
## X915         -1.501270     -2.0538690
## X917         -1.560015     -1.5869030
## X918         -1.435005     -1.7456862
## X921         -1.427968     -1.0696662
## X922         -1.435377     -1.2924320
## X923         -1.388371     -1.8822146
## X924         -1.722066     -1.9405520
## X925         -1.616129     -2.3426983
## X926         -1.508171     -1.5845978
## X927         -1.589811     -2.1151915
## X928         -1.655231     -2.0538690
## X929         -1.512259     -2.0373158
## X931         -1.595732     -1.8947083
## X932         -1.526737     -1.8180177
## X933         -1.510212     -2.0875956
## X934         -1.563074     -1.8201066
## X935         -1.514721     -1.9155516
## X936         -1.535133     -1.4969524
## X937         -1.498044     -1.5256320
## X938         -1.500059     -1.9920239
## X939         -1.528409     -1.8201066
## X941         -1.602161     -2.0104407
## X942         -1.572324     -1.8277950
## X943         -1.423555     -1.8568664
## X944         -1.611911     -1.4694835
## X946         -1.594361     -1.9245875
## X949         -1.221525     -1.1031070
## X950         -1.406135     -1.4590896
## X952         -1.725620     -2.2727630
## X953         -1.474648     -1.7668858
## X954         -1.583937     -1.8235956
## X955         -1.520913     -2.0185279
## X956         -1.649795     -1.8655012
## X957         -1.743107     -1.9668175
## X958         -1.613314     -2.3063064
## X959         -1.546616     -1.9405520
## X960         -1.508171     -1.6904389
## X962         -1.381022     -1.5427374
## X963         -1.445865     -1.2325409
## X964         -1.472696     -1.6220237
## X965         -1.630368     -1.9817260
## X967         -1.686456     -2.4856130
## X968         -1.604934     -1.9298875
## X970         -1.316639     -1.5109338
## X971         -1.495633     -2.0323892
## X972         -1.697160     -1.5316732
## X973         -1.581241     -1.4831367
## X974         -1.639046     -2.1721026
## X975         -1.500059     -2.2154336
## X976         -1.566145     -1.7945814
## X977         -1.693330     -2.0096347
## X978         -1.453440     -1.6155076
## X980         -1.464552     -1.6680271
## X981         -1.497641     -1.6527015
## X982         -1.620845     -2.1030497
## X983         -1.625115     -1.5561527
## X984         -1.592083     -1.5174436
## X986         -1.436867     -1.7319669
## X987         -1.440230     -1.6496593
## X988         -1.520085     -1.7966320
## X989         -1.533447     -1.6661779
## X990         -1.547473     -1.6303680
## X992         -1.479351     -1.7884496
## X993         -1.592538     -1.8180177
## X994         -1.486061     -1.5377457
## X995         -1.602161     -2.1265631
## X997         -1.524652     -1.6729722
## X1000        -1.477780     -1.7358713
## X1001        -1.465711     -1.9559389
## X1002        -1.386615     -1.6321636
## X1003        -1.489239     -1.6472311
## X1004        -1.560888     -1.9801488
## X1008        -1.605860     -1.9896404
## X1010        -1.488841     -1.9683790
## X1011        -1.471139     -2.0000000
## X1012        -1.627498     -2.6386361
## X1013        -1.673109     -1.8497148
## X1014        -1.541491     -1.7516124
## X1016        -1.484873     -1.6686442
## X1017        -1.557403     -1.3333333
## X1018        -1.619427     -2.0234038
## X1019        -1.498044     -2.1996053
## X1020        -1.690457     -2.1657627
## X1022        -1.565266     -2.0430863
## X1023        -1.506542     -1.9178048
## X1024        -1.557838     -1.4974871
## X1025        -1.581241     -2.2678960
## X1026        -1.482896     -1.7241946
## X1028        -1.560888     -2.1648594
## X1029        -1.609578     -2.1513794
## X1030        -1.409733     -1.6454131
## X1031        -1.502484     -1.8917577
## X1032        -1.654239     -2.1300810
## X1034        -1.533447     -2.2304954
## X1035        -1.568346     -1.7496338
## X1036        -1.504916     -1.9505330
## X1037        -1.490035     -1.6172812
## X1038        -1.565705     -2.1693820
## X1039        -1.347217     -1.8778337
## X1040        -1.553935     -1.5499851
## X1041        -1.642449     -2.0790851
## X1043        -1.692284     -2.0748497
## X1045        -1.515133     -1.6478377
## X1046        -1.589811     -1.9730743
## X1047        -1.694272     -1.8640580
## X1048        -1.504510     -1.6879284
## X1050        -1.565266     -2.0773893
## X1051        -1.631327     -2.1204282
## X1052        -1.488046     -1.5207121
## X1053        -1.569228     -1.9856773
## X1054        -1.431294     -1.9551652
## X1055        -1.579897     -1.5185321
## X1056        -1.594818     -2.0364934
## X1057        -1.441353     -1.4996282
## X1058        -1.436867     -1.7769479
## X1061        -1.669659     -2.7364649
## X1062        -1.522157     -1.5076925
## X1064        -1.605860     -1.8583015
## X1065        -1.561761     -2.1091071
## X1066        -1.434262     -1.5190767
## X1067        -1.535978     -1.6303680
## X1068        -1.480531     -1.9920239
## X1069        -1.460319     -2.0160966
## X1070        -1.598022     -2.2864798
## X1071        -1.342543     -1.3099702
## X1072        -1.416979     -1.5606584
## X1073        -1.569228     -1.7087947
## X1074        -1.307322     -1.6285751
## X1076        -1.484477     -1.8426028
## X1077        -1.387668     -1.7932162
## X1078        -1.503699     -2.1702883
## X1079        -1.363438     -1.6435978
## X1080        -1.627020     -1.9193090
## X1081        -1.596189     -2.1398020
## X1082        -1.419165     -1.3402996
## X1083        -1.558708     -1.9028570
## X1084        -1.548761     -2.1867032
## X1085        -1.453060     -1.6155076
## X1086        -1.449644     -1.6072651
## X1088        -1.463396     -1.9359709
## X1090        -1.324101     -1.2964545
## X1091        -1.508579     -1.5595304
## X1092        -1.610510     -1.9551652
## X1093        -1.475430     -1.7470007
## X1094        -1.477780     -1.9984010
## X1096        -1.401122     -1.3719574
## X1097        -1.529246     -1.5863263
## X1100        -1.505728     -2.0177170
## X1101        -1.427968     -1.5322240
## X1103        -1.615659     -1.5245369
## X1104        -1.474257     -2.1802966
## X1105        -1.539366     -1.6055062
## X1107        -1.351243     -1.7776215
## X1110        -1.507356     -2.1442434
## X1111        -1.509395     -1.5427374
## X1112        -1.633249     -1.8334159
## X1115        -1.561761     -1.8910211
## X1116        -1.532184     -1.8626165
## X1117        -1.461471     -1.8554329
## X1118        -1.569228     -1.9590379
## X1120        -1.662208     -2.0340294
## X1121        -1.620372     -1.5527846
## X1122        -1.553935     -2.0765423
## X1123        -1.612846     -2.0530365
## X1124        -1.556969     -2.1065078
## X1125        -1.491630     -2.2390390
## X1126        -1.540640     -2.2051713
## X1127        -1.627020     -2.0201513
## X1128        -1.649795     -2.2088944
## X1129        -1.526737     -2.3519414
## X1130        -1.550912     -2.2163702
## X1131        -1.700430     -3.0539870
## X1132        -1.478565     -1.1276737
## X1134        -1.481318     -2.4065265
## X1135        -1.583937     -1.9436150
## X1136        -1.596189     -2.2466769
## X1137        -1.391894     -1.1284389
## X1138        -1.714905     -1.7326167
## 
## $usekernel
## [1] FALSE
## 
## $varnames
## [1] "texture_mean"     "smoothness_mean"  "compactness_se"   "texture_worst"   
## [5] "smoothness_worst" "symmetry_worst"  
## 
## $xNames
## [1] "texture_mean"     "smoothness_mean"  "compactness_se"   "texture_worst"   
## [5] "smoothness_worst" "symmetry_worst"  
## 
## $problemType
## [1] "Classification"
## 
## $tuneValue
##   fL usekernel adjust
## 1  2     FALSE  FALSE
## 
## $obsLevels
## [1] "B" "M"
## attr(,"ordered")
## [1] FALSE
## 
## $param
## list()
## 
## attr(,"class")
## [1] "NaiveBayes"
BAL_NB_Tune$results
##   usekernel fL adjust       ROC      Sens      Spec      ROCSD     SensSD
## 1     FALSE  2  FALSE 0.8873525 0.8552525 0.7605882 0.02125535 0.03336686
## 2      TRUE  2  FALSE       NaN       NaN       NaN         NA         NA
##       SpecSD
## 1 0.04679768
## 2         NA
(BAL_NB_Train_ROCCurveAUC <- BAL_NB_Tune$results[BAL_NB_Tune$results$usekernel==BAL_NB_Tune$bestTune$usekernel &
                                                 BAL_NB_Tune$results$adjust==BAL_NB_Tune$bestTune$adjust,
                                                 c("ROC")])
## [1] 0.8873525
##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement

##################################
# Independently evaluating the model
# on the test set
##################################
BAL_NB_Test <- data.frame(BAL_NB_Test_Observed = MA_Test$diagnosis,
                          BAL_NB_Test_Predicted = predict(BAL_NB_Tune,
                                                          MA_Test[,!names(MA_Test) %in% c("diagnosis")],
                                                          type = "prob"))

##################################
# Reporting the independent evaluation results
# for the test set
##################################
BAL_NB_Test_ROC <- roc(response = BAL_NB_Test$BAL_NB_Test_Observed,
                       predictor = BAL_NB_Test$BAL_NB_Test_Predicted.M,
                       levels = rev(levels(BAL_NB_Test$BAL_NB_Test_Observed)))

(BAL_NB_Test_AUROC <- auc(BAL_NB_Test_ROC)[1])
## [1] 0.8969651

1.7.6 Meta Learner Model Development using Linear Regression (MEL_LR)


Details.

Code Chunk | Output

1.7.7 Meta Learner Model Development using Random Forest (MEL_RF)


Details.

Code Chunk | Output

1.8 Algorithm Comparison Summary


Details.

Code Chunk | Output
##################################
# Consolidating the resampling results
# for the formulated models
##################################
(Consolidated_Resampling <- resamples(list(MBS_AB = MBS_AB_Tune,
                                           MBG_RF = MBG_RF_Tune,
                                           MBG_BTREE = MBG_BTREE_Tune,
                                           BAL_LDA = BAL_LDA_Tune,
                                           BAL_CART = BAL_CART_Tune,
                                           BAL_KNN = BAL_KNN_Tune,
                                           BAL_NB = BAL_NB_Tune)))
## 
## Call:
## resamples.default(x = list(MBS_AB = MBS_AB_Tune, MBG_RF =
##  MBG_RF_Tune, MBG_BTREE = MBG_BTREE_Tune, BAL_LDA = BAL_LDA_Tune, BAL_CART
##  = BAL_CART_Tune, BAL_KNN = BAL_KNN_Tune, BAL_NB = BAL_NB_Tune))
## 
## Models: MBS_AB, MBG_RF, MBG_BTREE, BAL_LDA, BAL_CART, BAL_KNN, BAL_NB 
## Number of resamples: 25 
## Performance metrics: ROC, Sens, Spec 
## Time estimates for: everything, final model fit
summary(Consolidated_Resampling)
## 
## Call:
## summary.resamples(object = Consolidated_Resampling)
## 
## Models: MBS_AB, MBG_RF, MBG_BTREE, BAL_LDA, BAL_CART, BAL_KNN, BAL_NB 
## Number of resamples: 25 
## 
## ROC 
##                Min.   1st Qu.    Median      Mean   3rd Qu.      Max. NA's
## MBS_AB    0.9232456 0.9615583 0.9783282 0.9730232 0.9874680 0.9952685    0
## MBG_RF    0.9210526 0.9502709 0.9748721 0.9666119 0.9805627 0.9911125    0
## MBG_BTREE 0.9224071 0.9521100 0.9696852 0.9644432 0.9808437 0.9901535    0
## BAL_LDA   0.8102302 0.8641641 0.8828689 0.8762815 0.8913829 0.9296675    0
## BAL_CART  0.7863777 0.8392673 0.8597187 0.8614523 0.8853844 0.9405371    0
## BAL_KNN   0.8342363 0.8946931 0.9120227 0.9076428 0.9237616 0.9562020    0
## BAL_NB    0.8354220 0.8777090 0.8886189 0.8873525 0.8989938 0.9317136    0
## 
## Sens 
##                Min.   1st Qu.    Median      Mean   3rd Qu.      Max. NA's
## MBS_AB    0.8956522 0.9473684 0.9649123 0.9559237 0.9736842 0.9913043    0
## MBG_RF    0.8956522 0.9473684 0.9478261 0.9524424 0.9736842 0.9913043    0
## MBG_BTREE 0.8956522 0.9473684 0.9561404 0.9541998 0.9736842 0.9913043    0
## BAL_LDA   0.8260870 0.8508772 0.8684211 0.8720214 0.8947368 0.9304348    0
## BAL_CART  0.7631579 0.8086957 0.8596491 0.8503158 0.8859649 0.9043478    0
## BAL_KNN   0.8596491 0.9035088 0.9210526 0.9205797 0.9391304 0.9736842    0
## BAL_NB    0.7913043 0.8333333 0.8596491 0.8552525 0.8771930 0.9130435    0
## 
## Spec 
##                Min.   1st Qu.    Median      Mean   3rd Qu.      Max. NA's
## MBS_AB    0.8235294 0.8676471 0.8970588 0.8923529 0.9264706 0.9558824    0
## MBG_RF    0.7941176 0.8676471 0.8970588 0.8976471 0.9411765 0.9852941    0
## MBG_BTREE 0.8235294 0.8676471 0.9117647 0.9000000 0.9264706 0.9852941    0
## BAL_LDA   0.6323529 0.6764706 0.7058824 0.7105882 0.7352941 0.8235294    0
## BAL_CART  0.5588235 0.7058824 0.7500000 0.7482353 0.7794118 0.8823529    0
## BAL_KNN   0.8088235 0.8676471 0.8970588 0.8947059 0.9264706 0.9558824    0
## BAL_NB    0.6911765 0.7205882 0.7500000 0.7605882 0.7794118 0.8529412    0
##################################
# Exploring the resampling results
##################################
bwplot(Consolidated_Resampling,
       main = "Model Resampling Performance Comparison (Range)",
       ylab = "Model",
       pch=16,
       cex=2,
       layout=c(3,1))

2. References


[Book] Applied Predictive Modeling by Max Kuhn and Kjell Johnson
[Book] An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani
[Book] Multivariate Data Visualization with R by Deepayan Sarkar
[Book] Machine Learning by Samuel Jackson
[Book] Data Modeling Methods by Jacob Larget
[Book] Introduction to R and Statistics by University of Western Australia
[Book] Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson
[Book] Introduction to Research Methods by Eric van Holm
[R Package] AppliedPredictiveModeling by Max Kuhn
[R Package] caret by Max Kuhn
[R Package] rpart by Terry Therneau and Beth Atkinson
[R Package] lattice by Deepayan Sarkar
[R Package] dplyr by Hadley Wickham
[R Package] tidyr by Hadley Wickham
[R Package] moments by Lukasz Komsta and Frederick
[R Package] skimr by Elin Waring
[R Package] RANN by Sunil Arya, David Mount, Samuel Kemp and Gregory Jefferis
[R Package] corrplot by Taiyun Wei
[R Package] tidyverse by Hadley Wickham
[R Package] lares by Bernardo Lares
[R Package] DMwR by Luis Torgo
[R Package] gridExtra by Baptiste Auguie and Anton Antonov
[R Package] rattle by Graham Williams
[R Package] RColorBrewer by Erich Neuwirth
[R Package] stats by R Core Team
[R Package] caretEnsemble by Zachary Deane-Mayer
[Article] A Brief Introduction to caretEnsemble) by Zachary Deane-Mayer
[Article] How to Build an Ensemble Of Machine Learning Algorithms in R by Jason Brownlee
[Article] Ensemble Learning: Bagging, Boosting, and Stacking by Towards AI Team
[Article] Bagging, Boosting, and Stacking in Machine Learning by Emmanuella Budu
[Article] Stacking Ensemble Machine Learning With Python by Jason Brownlee
[Article] Essence of Boosting Ensembles for Machine Learning by Jason Brownlee
[Article] Ensemble Modeling with R by Deepika Singh
[Article] Creating Ensemble Models in R by Dustin Rogers
[Publication] Ensemble Selection from Libraries of Models by Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew and Alex Ksikes (Proceedings of the 21 st International Conference on Machine Learning,)
[Course] Applied Data Mining and Statistical Learning by Penn State Eberly College of Science